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Article

Assessment of Corporate Carbon Footprint and Energy Analysis of Transformer Industry

by
Manolya GÜLDÜREK
1 and
Burak ESENBOĞA
2,*
1
Technology Transfer Office Application and Research Center, Adana Alparslan Türkeş Science and Technology University, Sarıçam, Adana 01250, Türkiye
2
Department of Electrical and Electronics Engineering, Adana Alparslan Türkeş Science and Technology University, Adana 01250, Türkiye
*
Author to whom correspondence should be addressed.
Sustainability 2024, 16(13), 5800; https://doi.org/10.3390/su16135800
Submission received: 6 June 2024 / Revised: 1 July 2024 / Accepted: 3 July 2024 / Published: 8 July 2024

Abstract

:
Transformers are primarily key components in power transmission and distribution systems. In the electrical industry, transformers are becoming increasingly important to increase energy efficiency and reduce environmental impact. In the process from the production to the use of transformers, various strategies and technologies are adopted to reduce the carbon footprint. To achieve decarbonization targets and a future with sustainable energy, ongoing efforts to reduce the carbon footprint of transformers need to continue. Therefore, this study aims to calculate the carbon footprint (CF) of Beta Energy in the Adana Province of Türkiye. A comprehensive inventory is being created to determine and monitor the greenhouse gas emissions of Beta Energy, a transformer manufacturer. This inventory includes direct and indirect greenhouse gas emissions from all of the company’s activities. The findings show that in 2023, the total CF of Beta Energy is equal to 1,799,482.72 tons of CO2-eq and considering the total of 6044 transformers sold in 2023, results in 297 tons of CO2-eq/transformer per product. The results show that the transformer manufacturing industry has a high carbon footprint because it is an energy-intensive process. The areas where the most carbon emissions occur in transformer production are revealed by CF hot spot analysis in this study. To minimize both current and future greenhouse gas emissions during transformer production, the measures to be taken during the R&D, production, transportation, and service stages are revealed. This study aims to establish a foundation for Beta Energy’s efforts to reduce greenhouse gas emissions by managing them effectively.

1. Introduction

Transformers have been a part of the electrical grid since its early stages in the development of the grid. It supports the integration of new renewable resources into the system by ensuring that energy is transported efficiently over long distances from production stations to users. Transformers have reached high efficiency levels thanks to material and technological development. They also have a long lifespan of 30 to 40 years, and most of their materials can be recycled at the end of their life, making them a product suitable for the circular economy concept in many respects. The high value of some of these materials, such as copper and electrical steel, has made them easier to dispose of, recycle, or reuse, in many cases seeking an economic return rather than for reasons of circularity. There are other cases where transformers are recycled, not only for financial and cost reasons but also to reduce environmental impact. It is possible to recycle up to 99% of old transformers, with 64% as material recycling, 35% as clean, low-emission efficient energy burning, and the remaining 1% as disposal waste [1].
Electrical power systems are one of the main sources of CO2 emissions, and it is estimated that approximately 4% of the current greenhouse gas emissions from the electrical power system, i.e., 730 million tons/year, originate from transformers [2]. The ever-increasing demand for electrical energy requires the production of new transformers every year, further increasing emissions in the energy sector. Focusing on increasing renewable energy production and efforts to increase transformer efficiency are expected to reduce the impact of future emissions. Therefore, calculating the carbon footprint of transformers is a useful tool in the strategic planning and design for stakeholders such as manufacturers, consumers, and policymakers.
Companies and organizations in the energy sector must calculate their carbon footprint to achieve sustainability goals. Lower carbon emissions reduce environmental impacts and enable more sustainable use of natural resources. Many countries have regulations that require energy companies to reduce or report carbon emissions. Therefore, carbon footprint calculation is important for legal compliance and can help companies avoid criminal sanctions. Today, consumers are increasingly turning to environmentally friendly products and services. Energy companies investing in low-carbon energy sources and reducing carbon emissions can influence consumers’ preferences and enable companies to gain a competitive advantage. In the literature, studies have begun to calculate the carbon footprint in the field of energy and to determine strategies in this context.
Xie et al. (2020) analyzed carbon emissions across three wind power plants, finding a significantly lower CO2 emission factor of 3.9 g/kWh compared to alternative power generation systems. This highlights wind power’s efficacy in reducing CO2 emissions, making it a preferable option for clean energy production [3]. Nassar et al. (2024) focused on wind energy’s environmental impact in Libya, particularly in importing wind turbine technology. They found that most greenhouse gas emissions (85%) stemmed from manufacturing and transporting turbines. The study emphasizes wind energy’s potential as a sustainable alternative, urging policymakers to prioritize its development for greener energy systems [4]. Dong et al. (2013) assessed the carbon footprint of an industrial park in China using a tiered hybrid LCA method. They found the total carbon footprint to be 15.29 million metric tons, with the chemical and machinery manufacturing sectors being the largest contributors [5]. Kaldellis and Apostolou (2017) reviewed offshore and onshore wind energy technologies’ carbon footprints. While offshore installations generally have a larger footprint, the superior wind resources offshore often result in higher renewable electricity yields, mitigating the difference [6]. Goldstein et al. (2020) analyzed greenhouse gas emissions from residential energy use in the US, finding that wealthier Americans tend to have higher per capita emissions due to larger homes, especially in affluent suburbs. To meet emission reduction targets, deeper measures like energy retrofits and low-carbon energy adoption are necessary [7]. Zhao et al. (2011) developed a model to estimate carbon emissions in different regions of China in 2007. They found that fossil energy accounted for 89% of emissions, with high emission intensity in living/industrial commercial spaces and transportation sectors. Despite this, available lands were insufficient to offset industrial activities’ carbon footprint. Additionally, the carbon footprint per unit area decreased from East to West China across different industrial spaces [8]. Temizel et al. (2023) explore recent strategies for transitioning to greener energy solutions, with a focus on diversifying energy portfolios to include renewables like wind, solar, and hydrothermal sources. Efforts to enhance renewable energy efficiency have led to increased contributions to national energy requirements [9]. Sizirici et al. (2021) aimed to raise awareness of the carbon footprint sources in the construction sector, identifying energy-intensive processes in mining and manufacturing as the primary contributors to CO2 emissions. They highlighted techniques for carbon reduction [10]. Zhao et al. (2019) investigated energy usage and carbon emissions in the forestry and pulp paper industry, identifying coal and black liquor as primary energy sources. They found significant energy consumption in the material transportation and papermaking processes, with emissions mainly from coal and biomass combustion. The study emphasized areas for conservation and emission reduction efforts [11]. Onat et al. (2020) reviewed the global carbon footprint in the construction industry from 2009 to 2020, highlighting the influence of countries like Japan, Canada, and the USA on global supply chains. They emphasize the importance of understanding these impacts for effective carbon reduction policies, particularly in light of international collaboration efforts such as the COP 21 Climate Change Conference and the Paris Agreement [12]. Davutluoğlu et al. (2024) presented greenhouse gas emission inventories from the municipality’s main service building operations. In 2022, the municipality’s carbon footprint totaled 10,862.46 tons of CO2-eq, underscoring the need for sustainable initiatives to mitigate emissions [13]. Tekin et al. (2024) investigated carbon emissions in a textile company’s production process, focusing on Tricia fabric. Approximately 6.00 tons of carbon dioxide equivalent emissions were generated during the fabric transformation up to the sewing room stage [14]. Demirdelen et al. (2023) conducted a comparative analysis of carbon emissions from the complete life cycles of polyester and polypropylene products exported by Ulusoy Textile Company. The study aimed to inform more effective government policies for reducing greenhouse gas emissions and regulating synthetic yarn production in Türkiye [15].
The literature study shows that as energy supply increases day by day, carbon emissions must be reduced as energy production increases in terms of sustainability. In the energy sector, transformer production is one of the basic components of electrical transmission and distribution systems. It is used to convert electrical energy and ensure energy transmission between high and low voltage. Therefore, the share of transformer production in the energy sector is quite important and may vary depending on the size of energy demand and infrastructure investments. Factors such as countries’ energy policies, modernization of electricity networks, and transition to renewable energy sources increase transformer production. When electricity from renewable energy sources is often transported to remote areas, the use of transformers may be necessary. This becomes especially evident with the increase in wind and solar energy projects. The rise in transformer production is directly related to the increase in energy needs and reflects the growth and development in the energy sector.
The carbon footprint of the transformer industry refers to the greenhouse gas emissions resulting from the production of large and complex equipment used in the conversion and transmission of electrical energy. Since this industry is one of the key components of the energy sector, its carbon footprint is quite important. Additionally, the large size and complexity of transformers increase energy consumption in production and transportation processes. Reducing the carbon footprint of the transformer industry is possible through various methods such as increasing energy efficiency, optimizing materials and production processes, switching to renewable energy sources, and recycling.
Reducing the carbon footprint of the transformer industry contributes to the carbon emission reduction targets of the energy sector in general and is important for sustainability. Therefore, this study provides a detailed and comprehensive breakdown of greenhouse gas emissions resulting from operations in the Beta Energy/Adana-Türkiye factory area in 2023. In calculating the carbon footprint for Beta Energy, “Cradle to Gate” limits were taken into account. The research aim of this paper is to calculate the carbon footprint of the transformer manufacturing industry and set reduction targets. Within the scope of this study, the general goals of the transformer manufacturing industry to reduce its carbon footprint will be presented. Successful implementation of these targets will contribute to making industrial processes more sustainable.

2. Materials and Methods

This study includes the complete greenhouse gas emissions inventory of Beta Energy for 2023. Beta Energy’s carbon footprint calculation procedures and emission classifications comply with international regulations and standards. This research assesses Beta Energy’s corporate carbon footprint using ISO 14064-1 standards [16], encompassing all transformers manufactured and distributed. CO2-eq is calculated per transformer. Emissions are evaluated based on material procurement quantities from 2023. This study provides a guide for determining, monitoring, and evaluating Beta Energy’s greenhouse gas emissions and monitoring its compliance with climate change policies and regulations. The study can be used in the management of climate-focused investments and greenhouse gas emission indicators declared in sustainability reports. This study provides a guide for determining, monitoring, and evaluating Beta Energy’s greenhouse gas emissions and monitoring its compliance with climate change policies and regulations. In the calculations for the facility, activities for the time period of 1 January 2023–31 December 2023 were taken into account.

2.1. Greenhouse Gas Inventory Boundary

In this study, the greenhouse gas emissions resulting from Beta Energy’s activities are calculated. Thus, the carbon footprint reduction strategies of transformer manufacturers in the energy sector are determined. Beta Energy was selected in this study since it is Türkiye’s leading company in the energy sector. Beta Energy, which provides quality solutions for the energy sector with efficient production processes, operates in the Adana Hacı Sabancı Organized Industrial Zone on a total area of 65,000 m2, including 25,000 m2 of closed and 40,000 m2 of open space. Specializing in the electrical and electromechanical sector for many years, Beta Energy is a strong and reputable technology company operating in the field of power, distribution, and special wound transformers, with its main activity areas being oil and dry power, distribution transformers, and special wound transformers. With a monthly production capacity of 750 units, oil and dry-type distribution transformers, power transformers, and special winding transformers are produced in the company. It aims to carry out its activities within the framework of sustainability principles, aiming for a “Carbon neutral company” policy within the framework of fair approach and transparency. In addition to the factory in Adana, Beta Energy has a transformer production facility in Ethiopia, Africa, and a test laboratory in Kampala, Uganda, and has European-based locations in Germany and Ukraine. Today, it exports to 62 countries on 6 continents. While Beta Energy has a 35 percent market share in distribution transformers, it will increase this ratio by taking a larger share of the market with the completion of the new factory investment and capacity increase.
The scope approach aims to simplify the calculation and reporting of emissions. In this calculation period and within this report, the organization’s Scope 1, Scope 2, Scope 3, and Scope 4 emission sources are calculated. While determining the establishment boundaries in the design and development of the greenhouse gas inventory, the official address where Beta Energy operates as its headquarters was taken into consideration. The greenhouse gas calculation boundaries are shown in Figure 1.
Sources of greenhouse gas emissions are classified in 6 categories as follows:
  • Scope 1—Direct greenhouse gas emissions and removals;
  • Scope 2—Indirect greenhouse gas emissions from imported energy;
  • Scope 3—Indirect greenhouse gas emissions resulting from transportation/shipping;
  • Scope 4—Indirect greenhouse gas emissions from purchased raw materials and materials;
  • Scope 5—Indirect greenhouse gas emissions associated with the use of the organization’s products;
  • Scope 6—Other indirect greenhouse gas emissions.
This greenhouse gas inventory boundary is stated in Table 1.

2.2. BETA Energy Workflow and Evaluation of Greenhouse Gas Sources

When fully or partially recycled material is used in production, the carbon footprint in the overall system is reduced. The quality of materials used in transformer production depends on parameters including efficiency requirements determined by the user in accordance with national or international standards. These factors affect the carbon footprint throughout its life because the energy loss of the transformer in operation and the materials used in production are the main variables that affect the carbon footprint. During the raw material procurement phase, all raw materials needed during the production process of a transformer should be taken into consideration. Transformers are assembled into modules from many different raw materials and these are assembled to form a complete transformer. Figure 2 presents the transformer production system boundary. In Figure 2, all stages have energy use and CO2 emissions.
The main raw materials of transformers are steel, insulation paper, mylar, and aluminum. The main components are the core, winding coil, and tank. At this stage, the amount of raw materials used is taken into account when calculating greenhouse gas emissions. In transformer production, the production activity is mainly the assembly process and the energy intensity in this context is low. During the assembly phase, greenhouse gas emissions are taken into account during the processing and assembly of the entire transformer after obtaining the raw material. This stage is mainly carried out in different workshops: insulation workshop, coil workshop, assembly workshop, and drying workshop. In the greenhouse gas emission calculation, the total power consumption of each workshop during the transformer production and assembly process must be taken into account. Average energy consumption for production varies widely depending on the location of production, the level of automation adopted, and the energy-saving practices followed by the business.
Global transformer demand is met by a combination of imports and exports, with some regions exporting and some regions predominantly importing. While the transportation distance is low when the product is used in the region where it is produced, it can be several thousand kilometers when exported. Greenhouse gas emissions during the transportation phase depend on the type of transportation and the distance from the transformer supplier to the substation.
Greenhouse gas emissions of transformers during the operation/use phase are mainly power losses related to the electricity emission factor during the operation of the transformers. Greenhouse gas emission sources with an emission contribution rate of less than 1% are not included in the calculation and reporting process.
It should be noted that the insulating oil can be filtered and reused after the transformer reaches the end of its life, so the calculation does not include the insulating oil. Metal parts of raw materials (copper, steel, and aluminum) are recycled. The recycling rate is 90%. The recycling rate was taken into account when calculating greenhouse gas emissions at the raw material purchasing stage. Insulating paper is not renewable and is burned at the end of its life.
Greenhouse gas emissions during the operation phase of transformers are mainly power losses during the operation of transformers, which are related to the electricity emission factor. The most significant stage contributing to CO2 emissions from transformers (more than 95%) is during their operational lifespan of 30 years, mainly due to the cumulative impact of the no-load and load losses Transformer losses represent a significant portion of transformer use and need to be taken into account when calculating the environmental impact of the use phase.

2.3. Methodologies for Collecting and Quantifying Data

Data sources are a part of Beta Energy’s daily operations, which are regularly monitored in its relevant units. The calculation methodology created with the data provides a full explanation of the work performed and the assumptions made under the ISO 14064-1:2018 standard [16]. It is important to obtain primary data during the data collection process. The methodology used to calculate greenhouse gas emissions within the boundaries defined for this inventory involved multiplying activity data by appropriate emission factors. The mathematical formula, which is generally taken into account in the emission calculations made with the primary data of each scope and sub-scope, is presented in Equation (1).
T o t a l C O 2 e q = ( A c t i v i t y d a t a ) × ( E m i s s i o n s f a c t o r s )
The selected method aimed to minimize uncertainty and ensure accurate, consistent, and adaptable results. Specifically, the Tier 1 approach outlined in the IPCC Good Practice Guidance and Uncertainty Management in National Greenhouse Gas Inventories 2006 was utilized. However, for calculating CO2 emissions from electricity consumption, the Tier 2 approach was employed, using country-specific emission factors obtained from international sources. Emission factors are provided in carbon dioxide equivalent (CO2-eq), and emissions of CO2, CH4, and N2O are calculated separately and then converted to CO2 equivalent [17]. During this process, the emission amounts of each greenhouse gas are multiplied by their respective global warming potentials. The inventory evaluates greenhouse gases CO2, CH4, and N2O, considering their associated global warming potentials (GWP) [18]. The greenhouse gas inventory list is presented in Table S1. Scope 1, Scope 2, Scope 3, Scope 4, and Scope 5 emission factors are given in detail in Table S2, Table S3, Table S4, and Table S5, respectively [19,20,21,22].

2.4. Exclusion Assessment for Emission Sources

This study evaluated only emission sources from its internal operations. Lending or technical support activities for Beta Energy’s customers are not discussed. Additionally, since it is the second attempt to verify and publicly disclose greenhouse gas performance, the difficulty of obtaining data and measurement methods is one of the most influential factors in determining the reporting limit. It is aimed to continuously improve Beta Energy’s data management capacity. Excluded emission sources are presented in Table 2.

3. Results

Carbon footprinting (CF) is a method used to assess the environmental impacts of an organization’s operations. It involves measuring various factors such as greenhouse gas emissions, energy usage, waste management practices, and other environmental considerations. The process typically includes several steps: scoping, collecting data, calculating emissions, reporting and monitoring, implementing mitigation measures, and devising improvement strategies. By gathering relevant data, organizations can determine the quantities of greenhouse gas emissions and other environmental factors produced as a result of their activities, typically measured in metric tons of carbon emissions. The amount of stationary and mobile combustion process emissions for 2023 is shown in Table 3.
The amount of leakage gases and the CO2-eq values of these gases are given in Table 4.
Scope 2 emissions are primarily associated with the consumption of grid electricity. When organizations use electricity from the grid, they indirectly contribute to the greenhouse gas emissions generated by the power plants that produce that electricity. Table 5 presents electricity consumption data and its ton CO2-eq value.
Emissions that are not under the company’s direct control in the transportation of groups of goods, but arise when the company receives an external transportation service for its own activities and performs this service, indirectly contribute to the company’s total carbon footprint. Table 6 presents indirect greenhouse gas emissions from transportation.
When evaluating domestic and international product transportation emissions, items for which the transportation belongs to the company sending the product, not the company, were evaluated. Since there are no vehicles with direct Beta Energy limits, both cash payment and subcontracted payment methods were evaluated. It is stated that a total of 400 personnel will use the shuttle service in 2023 within the scope of personnel transportation to and from work, and a total of 22 shuttles are actively serving. Emission values covered by personnel commuting and business trips are given in Table 7.
In evaluating the scope of the purchased goods, all Beta Energy and refund payment data have been taken into consideration. Since the number of purchased data were quite large, a materiality assessment was made within the scope of the ISO 14064-1 standard [16]. In this evaluation, all measurement groups among the purchased goods were included in the evaluation, but the product and commodity groups that must be present in transformer manufacturing were determined and evaluated and 90% of the data were included in the calculations. Emissions related to the manufacturing of the product, service procurement, and emissions resulting from capital goods are given in Table 8.
Also, Scope 4 typically encompasses indirect greenhouse gas emissions associated with waste disposal, including industrial waste. This category includes emissions resulting from the disposal of waste materials generated during the production process or as a byproduct of industrial activities. It involves emissions generated during waste collection, transportation, treatment, and disposal processes. By accounting for these emissions, organizations gain a more comprehensive understanding of their overall environmental impact and can identify opportunities for waste reduction and mitigation strategies. Table 9 presents the indirect greenhouse gas emissions from waste disposal.
While calculating the greenhouse gas emission output resulting from the operational processes of transformers, transformers sold by Beta Energy in 2023 were taken into consideration. Before all calculations and results are given, a pilot calculation study was carried out for two types of oil-based transformers produced and sold in 2023, and the modeling of the study is shown in Table 10. Operation modeling is modeled according to the 30-year lifespan of the 160 kVA 33/0.4 kV transformer (approximately 0.900 tons) and 400 kVA 33/0.4 kV transformer (average 2.5 tons).
When the study stated in Table 10 is carried out for the 6044 transformers that Beta Energy sold in 2023, the emission of the transformers resulting from the 30-year operational processes results in 1,696,647.92 tons of CO2-eq.
Scope 6, indirect greenhouse gas emissions, typically refers to emissions associated with fuel- and energy-related activities outside the organization’s direct control but related to its operations. This includes emissions from activities such as extraction, production, and transportation of fuels and energy sources used by the organization. These emissions are given in Table 11.
Product end-of-life emissions include emissions that occur during the product lifecycle and post-disposal processes. Greenhouse gas emissions that occur during the use of the products sold by the company, emissions that occur during the destruction of the products by end users, or during recycling processes are evaluated within this scope. Table 12 presents end-of-life emissions.
Refining used oil can reduce the environmental impact of waste and contribute to more efficient use of energy resources. Waste oil must be recycled according to local rules and legal requirements using an authorized waste carrier. Recycled used oil has many uses. It is assumed that used transformer oil can be cleaned and reused through refining processes. The metals contained in transformers (e.g., copper and iron) can be recycled. Metal recycling facilities recover valuable metals by processing parts of used transformers. However, recycling rolled metal parts is quite difficult. Therefore, considering the two cases, it is assumed that more than half of the metal parts used in transformers are recyclable. Plastic, rubber, or other non-metal parts of transformers must also be processed appropriately. These materials must be recycled or disposed of safely. A total of 6044 products were sold during the year. Considering all transformer types, the average transformer weight sold is assumed to be 5 tons. The distribution of total emissions according to sub-scopes is given in Table 13.
Also, Figure 3 presents the scopes with the highest greenhouse gases (GHG) emissions. The majority of emissions from Beta Energy’s operations, amounting to about 94% of the total, come from the operational phase of its products after sale. During this phase, emissions primarily stem from the energy consumption when customers use the products, such as electricity or fuel. Detailed emissions data, including transformer no-load and load losses over a 30-year lifespan, are outlined in Table 10. These operational emissions constitute a significant portion of greenhouse gas emissions in the transformer industry, totaling 1,696,647.92 tons of CO2-eq for the 6044 transformers sold in 2023. Disposing of transformers after they reach the end of their useful life accounts for 5% of the overall carbon footprint. In the past year, 6044 transformers were sold, with an average weight of 5 tons each. Refining used oil reduces the environmental impact of waste and contributes to more efficient use of energy resources. Waste oil must be recycled according to local rules and legal requirements using an authorized waste carrier. Recycled used oil has many uses. Used transformer oil can be cleaned and reused through refining processes. The metals contained in transformers (e.g., copper and iron) can be recycled. Metal recycling facilities recover valuable metals by processing parts of used transformers. However, recycling rolled metal parts is quite difficult. Therefore, considering the two cases, more than half of the metal parts used in transformers are recyclable. Plastic, rubber, or other non-metal parts of transformers must also be processed appropriately. These materials must be recycled or disposed of safely. Emissions from purchased raw materials, which correspond to approximately 0.84% of the total emissions, have a significant share proportionally, as is encountered in similar sectors. The main raw materials of transformers are steel, insulation paper, mylar, and aluminum. It is also seen that aluminum as a raw material has a higher carbon footprint. Copper performs better but costs more. This choice is usually made according to customer preference. For this reason, copper will be preferred by customers by highlighting its performance.

4. Hot Spot Analysis and Final Evaluation

As a result of the corporate carbon footprint study, the location-based carbon footprint resulting from all activities of Beta Energy was calculated and hot spots were determined. Location-based carbon footprint is a gross carbon footprint and does not include electricity savings generated from any renewable power plants within Beta Energy. When the data provided by Beta Energy was collected completely and the relevant evaluations and calculations were made, the framework of the emission intensities was determined. When the emission source values are listed from largest to smallest, the top three titles are shown in Figure 4.
Emissions arising from the operational operating processes of the product after it is produced and sold within Beta Energy, which correspond to approximately 94% of the total emissions, constitute the highest slice of total emissions. Most greenhouse gas emissions from the transformer industry are caused by the operational use phase. This stage produces the maximum CO2 emissions because the transformer’s no-load losses and load losses have been taken into account over its expected lifespan of 30 years. In calculating the emissions resulting from the operational processes of transformers, it is assumed that the transformer operates at 50% load factor throughout its entire useful life and that no-load losses do not change during this period. The calculations assume that the CO2 emission rate/kWh remains unchanged throughout the lifetime. Disposal processes after the operational processes of sold transformers, which correspond to approximately 5% of the total emissions, have a significant share, as is also encountered in similar sectors. Due to the long life of transformers, there is a large time difference between the manufacturing phase and the end-of-life phase. Long-lasting products are generally valued for their enhanced resource efficiency and the increased potential for reuse, repair, and refurbishment, which can further amplify their positive impact. The time lag can also cause several problems. For example, the original manufacturers may no longer be in business and the original drawings and product components may become unusable. This can make it difficult both to repair products and to reuse individual components after their end of life. In this context, considering the disposal processes, the biodegradable and recyclable properties of transformer metal parts and transformer oils are accepted as 100%. Emissions from purchased raw materials, which correspond to approximately 0.84% of the total emissions, have a significant share proportionally, as is encountered in similar sectors. Raw material purchasing is an emission item that directly concerns the production phase of raw materials. Emissions are calculated based on the quantities of materials purchased in 2023. In some cases, only one emission factor has been used for all materials in the same functional class, such as some chemicals, coil varnish, resin, and hardener. The emission factor was chosen based on the most commonly used compound in that category. The total carbon footprint of transformers produced by Beta Energy is 1,799,482.72 tons of CO2-eq based on location, in the scenario where greenhouse gas emissions resulting from operational processes and end-of-life processes are also included. Considering the total of 6044 transformers sold in 2023, it is 297.72 tons CO2-eq/transformer per product.

5. Discussions

The total transformer purchasing cost concept does not impose an additional cost in terms of energy efficiency savings of transformers, as high-efficiency products are more cost-effective over their lifetime than low-efficiency units. Higher capitalized loss cost leads to lower losses and higher efficiency, and the higher acquisition cost is paid back over years. To ensure that both current and future greenhouse gas emissions are as minimal as possible during transformer production, there are several factors that can be taken into consideration during the R&D phase:
  • Realization of the design by reducing the load loss. (Load losses are greatly affected by the choice of conductor. Aluminum is cheaper but causes higher losses. It is also seen that aluminum as a raw material has a higher carbon footprint. Copper performs better but costs more. This choice is usually made according to customer preference.)
  • Making a design that is easy to manufacture and suitable for production (choosing a design that requires less processing during manufacturing).
  • Designing for recycling during the product development phase (reusability of materials, easy disposal, and avoiding non-recyclable materials).
  • Taking safety measures through design concepts to reduce the risk of failure (i.e., reducing tank puncture).
In order to reduce greenhouse gas emissions that may occur during the transportation phase:
  • Optimizing transportation and logistics arrangements from sourcing to product delivery.
  • Selection of resources closer to use. Supplying products from the transformer factory closest to the installation point to minimize transportation impact and risks.
To reduce greenhouse gas emissions that may occur during the service life phase:
  • Preventive maintenance: transformer maintenance and other operating considerations also have an impact to optimize transformer life (for example, preventing catastrophic failures to prevent environmental problems due to oil spills, tank explosions, and fires).
  • Enabling digitalization: digitalization also helps optimize daily transformer usage by applying dynamic loading models and precisely switching cooling equipment (fans) according to ambient and loading conditions.
Manufacturers have focused on enhancing the efficiency of transformers to reduce energy losses during operation. This includes improvements in core materials, such as using high-efficiency silicon steel or amorphous metals, which can significantly reduce no-load losses. Innovations in insulation materials, such as advanced papers and polymers, contribute to reducing the overall size and weight of transformers while improving performance and reducing energy consumption. Transformers are increasingly being integrated into smart grid systems, allowing for better management of energy flows and reducing overall energy wastage. There is a shift towards using eco-friendly insulating fluids, such as biodegradable oils and ester fluids, which have a lower environmental impact compared to traditional mineral oils. Manufacturers are also focusing on improving recycling processes for transformer components, including metals like copper and aluminum, as well as non-metallic materials, to minimize waste and promote sustainability. The adoption of digital technologies such as remote monitoring systems and digital twin technology for condition monitoring and predictive maintenance helps optimize transformer performance, reduce downtime, and extend lifespan, thereby reducing the need for frequent replacements and associated environmental impact. Overall, these technological and material innovations not only aim to improve the performance and reliability of transformers but also contribute significantly to reducing their carbon footprint throughout their lifecycle.
Governments around the world enforce emission standards that mandate limits on greenhouse gas emissions from industrial processes, including transformer manufacturing. Compliance with these standards affects how manufacturers measure, report, and mitigate their carbon emissions. It also influences the adoption of cleaner technologies and practices. Many countries have introduced energy efficiency regulations that require transformers to meet minimum efficiency standards. This study directly impacts the design and manufacturing processes, encouraging the use of materials and technologies that reduce energy losses during operation, thereby lowering the carbon footprint over the transformer’s lifetime. Regulations governing the disposal and recycling of transformer components, such as oils and metals, affect how manufacturers handle end-of-life products. Compliance with these regulations ensures that recyclable materials are recovered efficiently, reducing environmental impact and contributing positively to carbon footprint calculations. Carbon pricing initiatives, such as carbon taxes or cap-and-trade systems, incentivize companies to reduce their greenhouse gas emissions. Manufacturers factor in these costs when assessing the economic implications of carbon emissions associated with transformer production and operation.
The emission reduction measures proposed for the transformer manufacturing industry encompass a range of strategies aimed at minimizing greenhouse gas emissions across the lifecycle of transformers. Feasibility depends on customer preferences and regulatory requirements. Copper’s higher efficiency and lower carbon footprint justify its higher initial cost over the operational lifespan. Designing transformers with reduced load losses by choosing efficient conductors (e.g., copper over aluminum) is practical and widely implemented. Manufacturers can optimize designs to balance between performance and cost effectiveness, reducing operational energy losses and thereby lowering greenhouse gas emissions during the use phase of transformers. Manufacturers can integrate recyclable materials and minimize non-recyclable components. Implementing design concepts to enhance safety, such as reducing the risk of tank puncture, is practical with modern engineering techniques. Reducing the risks of operational failures and environmental hazards, such as oil spills or fires, minimizes the environmental impact. Implementing preventive maintenance programs is practical and widely adopted to optimize transformer lifespan. Integrating digital technologies for real-time monitoring and dynamic operation adjustments is increasingly practical with advancements in IoT and data analytics. Many of the proposed emission reduction measures are practical and feasible with current technology and industry practices. Manufacturers are already implementing these strategies to various extents depending on regulatory requirements and market demands.

6. Conclusions

This study offers a thorough analysis of the greenhouse gas emissions associated with the activities conducted in the Beta Energy/Adana-Türkiye factory region in 2023. Specifically focusing on the transformer manufacturing industry, the study calculates its carbon footprint and establishes reduction objectives. It outlines overarching goals aimed at mitigating the carbon footprint within the transformer manufacturing sector. In the scenario where the greenhouse gas emissions arising from the operational processes and end-of-life processes of the transformers produced within Beta Energy are in the process, 1,799,482.72 tons of CO2-eq, considering the total of 6044 transformers sold in 2023, results in 297 tons of CO2-eq/transformer per product. The highest share in total emissions, over 90%, is the emissions resulting from the operational processes of transformers. Transformers are used in different applications and field conditions. Uniform transformer production does not match every customer’s demand. In transformer production, it is best to include input from users and other stakeholders (e.g., customers, suppliers, industry experts, and local communities) in the development of the product, service, or solution and to create a common value chain and design with the aim of creating maximum value. Successful implementation of the targets to be achieved within the scope of this study will contribute to making industrial processes more sustainable. This study covers the action plan that provides effective measures to be taken by preparing a carbon footprint inventory for the base year 2023. In the future study, a carbon footprint inventory will be presented by collecting data for 2024 and will take into account carbon reduction efforts. Thus, the effectiveness of the implemented plan will be revealed.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/su16135800/s1, Table S1. Emission calculation methods from stationary and mobile combustion sources; Table S2. Scope 1—emission factors [18]; Table S3. Scope 2—emission factors [19]; Table S4. Scope 3—emission factors [20,21]; Table S5. Scope 4—emission factors [20,21]; Table S6. Scope 5—emission factors [20,21].

Author Contributions

Conceptualization, M.G. and B.E.; methodology, B.E.; software, M.G.; validation, M.G. and B.E.; formal analysis, M.G. and B.E.; investigation, M.G. and B.E.; resources, M.G.; data curation, B.E.; writing—original draft preparation, M.G. and B.E.; writing—review and editing, M.G. and B.E.; visualization, M.G.; supervision, B.E.; project administration, M.G. and B.E.; funding acquisition, M.G. All authors have read and agreed to the published version of the manuscript.

Funding

The APC was funded by Beta Energy and Technology Incorporated Company (Project Number: BETA 01012023).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article.

Acknowledgments

The authors would like to acknowledge Beta Energy and Technology for full financial support and the data process.

Conflicts of Interest

The authors declare no conflicts of interest.

References

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Figure 1. Greenhouse gas inventory boundary of Beta Energy.
Figure 1. Greenhouse gas inventory boundary of Beta Energy.
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Figure 2. Transformer production system boundary of Beta Energy.
Figure 2. Transformer production system boundary of Beta Energy.
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Figure 3. Evaluation of scopes with the highest GHG emissions.
Figure 3. Evaluation of scopes with the highest GHG emissions.
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Figure 4. Hot spot analysis.
Figure 4. Hot spot analysis.
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Table 1. Evaluation of greenhouse gas inventory classes for the reporting limits of the facility.
Table 1. Evaluation of greenhouse gas inventory classes for the reporting limits of the facility.
ScopeGreenhouse Gas ClassDescription
Scope 11.1. Steady BurningBeta Energy consumed natural gas for oily and dry manufacturing. The establishment actively used generators in 2023.
There was no active use of fire pumps in the organization in 2023.
1.2. Motion BurningOn-Road and Off-Road vehicle usage was available in the establishment.
1.4. Leak/Leak GasesCooling equipment was used in the establishment.
1.5. Biomass EmissionsThere was no biological source of greenhouse gases.
Scope 22.1. Purchased ElectricityTotal electricity consumption was calculated based on invoices issued by network providers.
2.2. Purchased Heat/SteamNo heat or steam intake was available in the reporting year.
Scope 33.1. Input Material Transportation/DistributionThe transportation of goods groups was evaluated as the distance between the locations where the transportation was carried out, and the amount transported and the carrying capacity of the truck/trucks were also evaluated.
3.2. Output Material Handling/DistributionThe final products produced were sent to domestic and international markets.
3.3. Employee Coming to Work CommutingEmployee attendance records were kept by the administrative unit.
3.4. Visitor/Customer Transportation to the FacilityVisitors and customers were provided with their own means of transportation to the facility, and since there was no access to quality and reliable data, this title was not calculated in the current year.
3.5. Business Travel and AccommodationBusiness travel records were evaluated based on the Excel list kept by accounting.
Scope 44.1. Purchased Product—Raw MaterialRaw materials/goods groups purchased by Beta Energy in 2023 were evaluated here.
4.2. Purchased Assets (Machine, equipment, vehicle, new building construction, etc.)Among the fixtures purchased in 2023, importance ratings were made and critical fixtures were taken into consideration.
4.3. Waste DisposalThe wastes included in the waste declaration were evaluated.
4.5. Service UsageThe outsourced services of the organization were evaluated here.
Scope 55.1. Usage Stage of Sold ProductsThe lifetime emissions of transformers produced by Beta Energy and sold in 2023 were evaluated.
5.3. End of Life of Sold ProductsThe kind of process the transformer types produced and sold for each transformer category in the organization will be subject to after their lifetime is completed was examined here.
Scope 66.1. Fuel and Energy-Related ActivitiesEmissions from the well to the pump for each fuel consumed were calculated under this heading. Emissions resulting from the transmission and distribution of electricity were also examined in this context.
Table 2. Scope 1: direct greenhouse gas emissions from stationary and mobile combustion process emissions.
Table 2. Scope 1: direct greenhouse gas emissions from stationary and mobile combustion process emissions.
Emission SourceScopeReason for Exclusion
Process EmissionsScope 1
Sub-scope 1.3
No process emissions occur during transformer production processes within Beta Energy.
Customers and VisitsScope 3
Sub-scope 3.4
Beta Energy visitors’ transportation and accommodation expenses are often covered by Beta Energy. However, if this distinction cannot be made in 2023, it is taken into account that customers are obliged to cover their own transportation expenses in the calculation made for this year. Beta Energy expects this part of emissions to be below 1 percent of total emissions.
TransportationScope 4
Sub-scope 4.4
Since Beta Energy does not have any financial lease, operating lease, or contractual lease, this scope is excluded.
Table 3. Scope 1: direct greenhouse gas emissions from stationary and mobile combustion process emissions.
Table 3. Scope 1: direct greenhouse gas emissions from stationary and mobile combustion process emissions.
Scope—Sub-ScopesFuel TypeConsumption AmountUnitValue, ton
CO2
Value, ton CH4Value, ton
N2O
Value, ton CO2-eq
Stationary BurningOil Manufacturing—Natural Gas255,333.9Sm3460.670.230.224461.121
Stationary BurningDry Manufacturing—Natural Gas9541.08Sm317.210.010.00817.231
Stationary BurningGenerator930Lt2.460.00280.0052.47
Stationary BurningFire Drill—Diesel-Lt----
Mobile
Combustion (On-road)
Diesel85,045.53Lt219.6250.323.156223.103
Moving Combustion (Off-road)Diesel10,283Lt27.195-2.86530.062
Mobile
Combustion (On-road)
Gasoline8953Lt20.200.200.63721.040
Table 4. Scope 1: direct greenhouse gas emissions from leak gases.
Table 4. Scope 1: direct greenhouse gas emissions from leak gases.
Scope—Sub-ScopesDevice TypeGas TypeKIP ValueValue, ton CO2-eq
Leak GasesAll domestic and industrial coolersR410A—R32—CO22256—1—7718.68
Table 5. Scope 2: indirect greenhouse gas emissions from energy consumption.
Table 5. Scope 2: indirect greenhouse gas emissions from energy consumption.
Scope—Sub-ScopesFuel TypeConsumption AmountUnitValue, ton CO2Value,
ton CH4
Value, ton N2OValue,
ton CO2-eq
Electricity ConsumptionElectric1,910,971.82kWh838.916--838.916
Table 6. Scope 2: indirect greenhouse gas emissions from raw material/goods group transportation.
Table 6. Scope 2: indirect greenhouse gas emissions from raw material/goods group transportation.
Scope—Sub-ScopesMode of TransportFuel TypeValue,
ton CO2
Value,
ton CH4
Value,
ton N2O
Value,
ton CO2-eq
Transportation Sourced
– Input Material Handling
Highway—Trailer Condition Unknown Vehicle (HGV-all HGV)Diesel1114.7650.17513.8491128.79
Table 7. Scope 3: indirect greenhouse gas emissions from business travel and personnel commuting.
Table 7. Scope 3: indirect greenhouse gas emissions from business travel and personnel commuting.
Scope—
Sub-Scopes
Mode of
Transportation
Fuel TypeTotal DistanceUnitValue, ton
CO2
Value, ton
CH4
Value, ton
N2O
Value, ton
CO2-eq
Staff
Commuting
ServiceDiesel397,090.9091Passenger × km230.178-6.808236.986
Business TravelsTransportMixed196,539Passenger × km17.12990.161430.5436917.5593
Business TravelsAccommodation-2858Room/night91.7761--91.776
Table 8. Scope 4: indirect greenhouse gas emissions from purchased raw materials (emissions related to the manufacturing of the product) and capital goods.
Table 8. Scope 4: indirect greenhouse gas emissions from purchased raw materials (emissions related to the manufacturing of the product) and capital goods.
Scope—
Sub-Scopes
Asset/Fixed Asset TypeUnitValue, ton
CO2
Value, ton
CH4
Value, ton
N2O
Value, ton Other GHGValue, ton CO2-eq
Emissions from
Capital Goods
2023 Beta Energy all capital goodsUSD407.1401.5710.00817.725426.44
Purchased Raw Material/MaterialAll groups of goods purchased based on importanceUSD----15,266.2467
Emissions from Service ProcurementAll servicesUSD87.1190.5950.0011.32189.037
Table 9. Scope 4: indirect greenhouse gas emissions from waste disposal.
Table 9. Scope 4: indirect greenhouse gas emissions from waste disposal.
Scope—
Sub-Scopes
Waste TypeAmountUnitDisposal MethodValue,
ton CO2-eq
Waste Disposal—Industrial WasteOther hydraulic oils800.00kgR90.016800
Waste Disposal—Industrial WastePaper and cardboard packaging32,500.00kgR120.682500
Waste Disposal—Industrial WastePlastic packaging9565.00kgR120.200865
Waste Disposal—Industrial WasteWooden packaging11tonR122.301495
Waste Disposal—Industrial WastePackaging containing residues of or contaminated with hazardous substances.40.00kgR120.000840
Waste Disposal—Industrial WasteAbsorbents, filter materials (oil filters not otherwise specified), cleaning cloths, protective clothing contaminated with hazardous substances.40.00kgR120.000840
Waste Disposal—Industrial WasteWastes whose collection and disposal are subject to special treatment in order to prevent infection6.00kgR130.000126
Waste Disposal—Industrial WasteMetals525tonR1211.025
Waste Disposal—Industrial WasteWaste water5421.3m3Discharge1.09
Table 10. Operational modeling study.
Table 10. Operational modeling study.
StageInventoryTransformer 1
(160 kVA 33/0.4 kV)
Transformer 2
(400 kVA 33/0.4 kV)
Formulation: Emission Operational = 365(Power Loss) × (Operating Time) × 2023 Electrical Emission Factor
OperationPower Loss (kW)Load Loss: 3343 WLoad Loss: 4333 W
No-load Loss: 315 WNo-load Loss: 725 W
No-load Loss/year kWh2759.406351.00
Load Loss/year kWh 50% Load Factor7321.179489.27
Total Loss10,080.5715,840.27
2023 EFelectric0.439 (tCO2-eq/MWh)0.439 (tCO2-eqMWh)
Total CO2-eq/year (ton)3.2616.365
Operating Period (Year)3030
Total CO2-eq (ton) after 30 Years132.76208.62
Table 11. Scope 6: indirect greenhouse gas emissions from fuel and energy-related activities.
Table 11. Scope 6: indirect greenhouse gas emissions from fuel and energy-related activities.
Scope—
Sub-Scopes
Fuel TypeTransmission Distribution (% Output)UnitValue, ton CO2-eq
All WTTAll Fuels12.75kg × CO2-eq621.88
Table 12. End-of-life emissions.
Table 12. End-of-life emissions.
Scope—
Sub-Scopes
Product TypeOutletParts That Can Be Evaluated Within the Framework of End-of-LifePercentage Within a Transformer (%)Disposal MethodProduct Recycling Rate (%)Amount to Be Recycled at End of Life (kg)tCO2-eq
End of lifeOil and dry typeDomestic and foreign marketUsed transformer oil0.075Closed Loop1002,266,50048,231.120
Copper, aluminum, iron contents (core, structural elements, windings, other metal parts)0.8Closed Loop7518,132,00017,860.020
Copper, aluminum, iron contents (core, structural elements, windings, other metal parts)0.8Storage256,044,0007639.616
Non-metal parts (insulation materials, insulation elements, Kraft paper0.125Closed Loop000
Non-metal parts (insulation materials, insulation elements, Kraft paper0.125Incineration100377,7508038.520
Table 13. The distribution of total emissions.
Table 13. The distribution of total emissions.
Sub-ScopeScopeValue, ton CO2Value, ton CH4Value, ton N2OValue, ton HFCValue, ton other GHGTotal value, ton CO2-eq%
1.1. Steady BurningScope 1480.3410.2400.238- 480.820.0267
1.2 Motion CombustionScope 1267.0200.5236.658- 274.200.0157
1.4. Leak/Illegal Gases (Value, tons HFC)Scope 10.010--8.667 8.680.0005
2.1. Electricity consumptionScope 2838.920.0000.000- 838.920.0466
3.1. Raw Material/Goods TransportationScope 31114.7650.17513.839- 1128.790.0627
3.2. Product ShippingScope 31544.4860.36224.030- 1568.880.0872
3.3. Personnel ServicesScope 3230.178 6.808- 236.9860.0132
3.5. Business TravelsScope 3108.960.1610.544- 109.3350.0061
4.1. Purchased Raw MaterialsScope 415,266.247----15,266.250.8483
4.2. Purchased Fixed Assets/AssetsScope 4407.1401.5710.008-17.725426.440.0237
4.3. Waste DisposalScope 414.228----14.230.0008
4.3. Waste waterScope 41.09----1.090.0001
4.5. Procurement of servicesScope 487.1190.5950.001-1.32189.040.0049
5.1. Usage Stage of Sold ProductsScope 51,696,647.923----1,696,647.9294.285
5.3. End of Life of Products SoldScope 581,769.276----81,769.284.544
6.1. Fuel and Energy Related ActivitiesScope 6621.875----621.880.0346
TOTAL (LOCATION BASED)TOTAL1,799,399.523.6352.1358.66719.0461,799,482.72100
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GÜLDÜREK, M.; ESENBOĞA, B. Assessment of Corporate Carbon Footprint and Energy Analysis of Transformer Industry. Sustainability 2024, 16, 5800. https://doi.org/10.3390/su16135800

AMA Style

GÜLDÜREK M, ESENBOĞA B. Assessment of Corporate Carbon Footprint and Energy Analysis of Transformer Industry. Sustainability. 2024; 16(13):5800. https://doi.org/10.3390/su16135800

Chicago/Turabian Style

GÜLDÜREK, Manolya, and Burak ESENBOĞA. 2024. "Assessment of Corporate Carbon Footprint and Energy Analysis of Transformer Industry" Sustainability 16, no. 13: 5800. https://doi.org/10.3390/su16135800

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