Renewable Energy Deployment Research Articles

Domain-Specific Large Language Model for Renewable Energy and Hydrogen Deployment Strategies

Recent advances in large language models (LLMs) have shown promise in specialized fields, yet their effectiveness is often constrained by limited domain expertise. We present a renewable and hydrogen energy-focused LLM developed by fine-tuning LLaMA 3.1 8B on a curated renewable energy corpus (RE-LLaMA). Through continued pretraining on domain-specific data, we enhanced the model’s capabilities in renewable energy contexts. Extensive evaluation using zero-shot and few-shot prompting demonstrated that our fine-tuned model significantly outperformed the base model across renewable and hydrogen energy tasks. This work establishes the viability of specialized, smaller-scale LLMs and provides a framework for developing domain-specific models that can support advanced research and decision-making in the renewable energy sector. Our approach represents a significant step forward in applying LLMs to the renewable and hydrogen energy sector, offering potential applications in advanced research and decision-making processes.

Grid connection barriers to renewable energy deployment in the United States

Grid connection barriers to renewable energy deployment in the United States

An Integrated Assessment of Technological Pathways and Socioeconomic Impacts for Sustainable Power System Transition in Indonesia

The energy transition has unique and profound socioeconomic impacts for the developing and coal-producing countries, due to the distinctive country’s characteristics. The overall development context and challenges comprising technological pathways, investment, value added, employment and inequality must be considered. For the case of Indonesia, as one of the world's largest coal-producing, the archipelagic nature with various island topography, sociocultural diversity as well as very high population really needs a comprehensive energy transition research considering the above aspects, which is so far still lacking. Therefore, this current study presents an integrated assessment of technological change and socioeconomics impact for power transition pathways in Indonesia using the Integrated MARKAL-EFOM System (TIMES) and their socioeconomics implications using the Miyazawa Input–Output Model (MIOM). Four scenarios were applied namely business-as-usual (BAU), 100% renewable energy (100%RE), Paris Agreement 1.5 °C without coal phase-out (PA1.5), and that of with coal phase-out (PA1.5PO). The results show that by 2060, 100%RE without applying carbon capture and storage (CCS) creates an extreme power flexibility which requires ample energy storage but does not attain net-zero. To meet the 1.5 °C carbon budget, PA1.5 and PA1.5PO require substantial renewable energy deployment, particularly in utility-scale solar PV, energy storage, and low-carbon technologies. These two scenarios exhibit a notable increase in total installed capacity, ranging 3.37–3.83 times higher than the BAU scenario. PA1.5PO, plays an increasing role natural gas as bridge fuel in advanced gas power from 2035 to its peak in 2050. PA scenarios require a higher installed capacity compared to BAU, corresponding to a substantial total investment cost of almost 2.5 times in 2060. The MIOM results show that these scenarios have a stronger impact on household income and employment compared to BAU. However, the impact on value added (VA) only surpasses BAU until 2045, specifically in the PA1.5PO scenario. In the long term, PA1.5PO generates the highest value added and household income, whereas 100%RE scenario has the highest employment and the highest value added in the electricity sector. In contrast, non-energy sectors related to conventional energy supply chains may face challenges. However, PA1.5PO can better mitigate adverse effects. The key findings could provide an insight for policymakers better understand transition pathway and its socioeconomic impacts to ensure a fair transition towards a carbon-neutral economy.

Transition to a sustainable energy balance and conversion factors in economic management: Basics for transitioning to a low-carbon economy

Transitioning to a sustainable energy balance is crucial for mitigating the impacts of climate change and achieving sustainable development. Understanding energy balances and utilizing conversion factors will aid in the transition to a low-carbon economy that benefits both the environment and the economy. This paper examines the impact of extended energy balances and conversion factors on clean energy transitions in the selected Asia-Pacific Economic Cooperation (APEC) countries from 1989 to 2021, using urbanization, natural resources, and energy intensity as moderating variables. Empirical estimates are based on cross-sectional dependence, slope heterogeneity, Westerlund ECM panel co-integration, and system dynamic panel data estimation. The findings of this study provide valuable insights into the relationship between energy transitions and the associated factors. The negative association between extended energy balance and energy transitions suggests that more tremendous efforts should be made to reduce energy consumption and promote energy efficiency. Urbanization, natural resources, and energy intensity also hurt energy transitions, indicating that sustainable practices and resource conservation are necessary to ensure successful energy transitions. By focusing on energy efficiency, renewable energy deployment, energy diversification, and the improvement of conversion factors, APEC countries can pave the way for a more sustainable and resilient energy future.

The Interplay Between China’s Regulated and Voluntary Carbon Markets and Its Influence on Renewable Energy Development—A Literature Review

This is the first review study that focuses on the interplay between China’s regulated and voluntary carbon markets, the Emissions Trading System (ETS), the China Certified Emission Reduction (CCER) scheme, and their combined influence on the development of renewable energy in the country. Through a comparative literature review of 52 peer-reviewed academic papers published between 2009 and 2024, this study aims to elucidate how these market mechanisms interact to drive renewable energy deployment. The findings indicate that both the ETS and the CCER system positively affect China’s renewable energy landscape. The ETS, with its Cap-and-Trade (CaT) mechanism, sets a cap on total emissions and allows for the trading of emission quotas, thereby creating financial incentives for companies to reduce emissions and invest in renewable energy. The CCER scheme complements the ETS by allowing companies to use the CCER scheme for a capped share of their ETS certificates, whereby the lower CCER price diverts investments to where the saved ton of CO2 in China is cheapest, further incentivizing investments in renewable energy. This dual mechanism allows for a more flexible and cost-effective approach to achieving emission reduction targets, thereby fostering an environment conducive to investment in renewable energy. It will stimulate additional investment in renewable energy projects in the long run, particularly in economically underdeveloped regions, contributing to both local economic development and national emission reduction targets.

Beyond the threshold: Understanding the asymmetric effects of renewable energy on CO2 emissions

While renewable energy deployment is essential to mitigate climate change, the interplay between renewable energy consumption and environmental degradation may not be linear. The environmental aspect of renewable energy consumption may change over time, depending on the scale and technique effects. This may be due to asymmetry in the relationship. Nonetheless, most current literature either assumes linearity, or ignores the turning point of the behavioral change. This results in inconclusive empirical findings at the disaggregated level of renewable energy consumption. This paper utilizes threshold estimation technique to capture the asymmetry in the renewable energy-CO2 emissions relation in the top ten renewable energy consumers covering the period 1990–2020. The literature gap is addressed by deriving the threshold effect at the aggregate and disaggregated levels to prevent aggregation bias. Understanding the thresholds of different renewable energy sources would improve policy effectiveness and resource allocation at different consumption levels to better curb climate change. The threshold estimation technique measures total renewables, hydro, solar, wind, and others (bioenergy and geothermal) as threshold variables. The findings indicate that total renewables and solar consumptions have stronger mitigating effects on CO2 emissions beyond the consumption levels of 4363.37 and 43.58 kWh, respectively. The advantageous environmental effect of wind consumption only manifests above the consumption level of 657.40 kWh. For policy implication, this study recommends an increase in the weightage of renewables in the energy mix by formulating energy-specific policies, in order to optimize the environmental benefits of renewable energy adoption.

Основные направления и инструменты политики низкоуглеродного развития Бразилии

Brazil has a strong potential to achieve national climate goals and can also be an important decarbonization partner for other countries, especially in the supply of green hydrogen and critical raw materials for the production of new climate- neutral technologies. This article highlights the main tools and policies for Brazilʼs decarbonization and identifies potential areas in which the country can not only achieve its nationally determined contributions (NDCs), but also ensure innovative green economic growth. Low carbon intensity energy sources can ensure a low carbon footprint for industrial products, which can make goods more attractive in the face of increasing requirements and the introduction of measures such as the European Unionʼs (EU) carbon border adjustment mechanism (CBAM). Extensive deployment of renewable energy creates opportunities for the country to produce sustainable hydrogen, which will be in demand both domestically and globally. The main challenge for Brazilʼs decarbonization is its extensive agriculture, as well as widespread deforestation, the rate of which increased under the Bolsonaro administration. For agricultural products,which make up a large share of exports, deforestation regulations like those adopted in the EU would be a real barrier and could close European and other markets. The min- ing and processing of critical raw materials could be a potential breakthrough for the countryʼs economic growth due to the widespread decarbonization of the global economy. The low carbon intensity of the countryʼs industry, including mining, due to renewable energy sources appears to be a significant advantage. Lulaʼs return has given the international community hope that, at least in forestry and agriculture, significant efforts can be expected from Brazil, including international support, financing, and auditing.

Do citizens’ perspectives matter? A comparison of formal planning and local preferences for the deployment of renewable energies

ABSTRACT The aim of the study is to analyse the extent to which the spatial planning guidelines for renewable energies address the local people’s perception of a sustainable energy transition. Using the example of the municipality of Tettnang in southern Germany, the study focuses on GIS-based visualisations to investigate the spatial intensity to which the overarching formal specifications on land use have been imprinted on the local contexts and what options for alternative spatial concepts are left for the local population to promote the expansion of wind turbines and photovoltaics. In a further step, the methods of participatory mapping and supplementary interviews are used to analyse which spatial perceptions of a spatially balanced energy transition prevail at the local level. The study sample indicates that the specifications of higher-level spatial planning for renewable energies are not so far away from the spatial ideas of the local population as theoretical concepts assume. Rather, a high degree of criterial congruence was found between the interviewees informal and the overarching formal spatial concepts.

The prospect of floating photovoltaic in clean energy provision and net-zero-emissions

AbstractThis study emphasizes the critical role of renewable energy in addressing climate change challenges, particularly in reducing greenhouse gas emissions. It highlights the central importance of solar photovoltaic systems. While recognizing South Africa’s progress in renewable energy deployment, the study notes that substantial efforts are still needed to meet the country’s renewable energy targets. The study’s primary aim is to enhance the understanding and deployment of solar photovoltaic systems by critically examining the photovoltaic potential and performance of different sites. To achieve this, two scenarios—land photovoltaic and floating photovoltaic systems—were considered, focusing on hypothetical 10 MWp-installed capacity systems. The results indicate that the 10-MWp land photovoltaic system has a global tilted irradiance of 2184.7 kWh/m2, an annual total output of 18 GWh, and an average yearly performance ratio of 81%. The economic parameters for the land photovoltaic system include a capital expenditure of $9.0 million, an operational expenditure of $157,500 annually, and a levelised cost of energy of $0.04089/kWh. In contrast, the 10-MWp floating photovoltaic system reports a Global Tilted Irradiance of 1797 kWh/m2, an annual total output of 16 GWh, and a performance ratio of 76%. The economic parameters for the floating photovoltaic system include a capital expenditure of $10.6 million, an operational expenditure of $176,250 annually, and a levelised cost of energy of $0.04936/kWh. Both scenarios’ econo-technical parameters fall within acceptable ranges. However, the land photovoltaic system shows better performance, indicating some efficiency loss in the floating photovoltaic system possibly due to harsher offshore conditions. Based on the data from the reports, the study concludes that the econo-technical feasibility of floating photovoltaic in the Western Cape Province of South Africa is high. Graphical abstract

Categorical claims about voluntary renewable energy actions are not supported by categorical evidence

Abstract Voluntary renewable energy procurement by retail electricity customers could play a critical role in achieving clean energy objectives. Research could optimize that role by providing accurate and nuanced information about how different voluntary actions most effectively drive renewable energy deployment. Recent literature has made categorical assertions that broad classes of voluntary actions are weakly or not impactful. This Perspective argues that these categorical assertions are not supported by equally categorical evidence. A closer examination shows the evidence is less conclusive and less generalizable than stakeholders may presume. Voluntary renewable energy buyers would benefit from more nuanced analysis of the impacts of different energy procurement actions across distinct contexts.

Grid Integration Strategies for Optimizing Renewable Energy Deployment and Grid Resilience

This study explores the integration of renewable energy sources, namely, solar and wind, focusing on strategies to optimize their deployment into the electrical grid, and increasing the resiliency of the grid. Using four-year comprehensive data from Spain, including energy consumption, generation, pricing, and the condition of the weather, advanced statistical analysis, regression models, and optimization methods have been employed. Based on the results, it is clear that solar energy is seasonal, and wind energy is variable, with the weather playing a considerable role in the energy output. The optimization analysis showed that when the renewable capacity was increased to include 30 MW of solar and 120 MW of wind, the energy demand would be met at a significantly lower total system cost of $12.60 per unit. The costs related to operation and emissions would also decrease notably. However, with the regression models giving modest values of R² equal to 0.19 for solar and R² equal to 0.21 for wind, the extent of these developments and prediction can be fairly modest. Still, these results provide a strong backbone for the prediction of energy generation and show that modernization of the grid and adaptive management are of crucial importance. The results of the study could provide a guideline for policymakers and energy managers on how these goals can be achieved.

Electron Diffusion Length Effect on Direction of Irradiance in Transparent FAPbBr3 Perovskite Solar Cells.

Transparent photovoltaics for building integration represent a promising approach for renewable energy deployment. These devices require transparent electrodes to manage transmittance and to ensure proper cell operation. In this study, transparent FAPbBr3-based perovskite solar cells optimized via a passivation treatment were demonstrated with average visible transmittance values above 60% and light utilization efficiencies up to 5.0%. Experiments under varying ultraviolet (UV) irradiance intensities from both front and rear directions revealed performance differences correlated with diffusion-limited transport and open-circuit voltage changes. Combining the UV-radiated experiments and drift-diffusion simulations, an asymmetry between the diffusion lengths of electrons and holes in the perovskite is revealed, with estimated values resulting in less than 50 nm and more than 99 nm, respectively. Our methods not only identify electron-hole diffusion length differences but also introduce a general protocol for characterizing solar cells with transparent electrodes.

Can green finance act as a catalyst to renewable energy deployment? Evidence from China using a spatial econometric approach

There is international consensus on leveraging green finance in renewable energy deployment because both are viewed as crucial for achieving carbon neutrality. We employ a spatial econometric approach to examine whether green finance can stimulate renewable energy uptake using energy data from 30 provinces in China for the period 2006–2020. We also investigate the moderating influence of government interventions in the form of environmental regulations and natural gas promotion. To assess the overall impact of China's inaugural green bond policy, introduced in 2015, we conduct a quasi-natural experiment combining the spatial Durbin model and difference-in-difference (DID) method. The empirical results reveal the following: Firstly, green finance can enhance renewable energy utilization, with spillover effects observed from green finance in one province to neighboring provinces. Secondly, environmental regulations and natural gas promotion have beneficial moderating effects, supporting green finance in advancing renewable energy deployment. Thirdly, a high level of implementation of green bond policy generates local and external boosts for renewable energy. These findings can inform government and environmental organizations in designing and implementing policies to expand renewable energy deployment.

Examining the effect of geopolitical risks on renewable energy consumption in OECD countries

As urgent actions are required to accelerate the transition to a more environmentally friendly energy sector and global economy, the rising geopolitical risks defined as any tensions that disrupt the peace of local and international relations pose greater uncertainty to the rapid renewable energy deployment in supporting the carbon-neutrality ambitions. Thus, this paper investigates the influence of geopolitical risks on renewable energy consumption in OECD countries over the period 1970–2022 to address potential estimation biases from ignoring recent events such as COVID-19 and the ongoing Russia-Ukraine war. The paper applies a system GMM to a cross-country panel dataset while controlling for per capita income, carbon dioxide (CO2) emissions, economic globalization, and natural resource rents to deal with all possible sources of endogeneity. The results show that geopolitical risks reduce the consumption of renewable energy, with a magnitude of 0.22 percentage points. In addition, CO2 emissions and natural resource rents adversely affect the amount of renewable energy consumption. However, economic growth and globalization promote the demand for renewable energy. Therefore, the empirical findings suggest that geopolitical risks play a crucial role in the consumption of renewable energy. Acknowledgement The financial support from Engineering and Physical Sciences Research Council (EPSRC) under the project EP/T022930/1 is gratefully acknowledged. Authors would like to thank Prof. David Reiner and the Editor for their constructive comments and suggestions.

European spatial planning design for accelerating the deployment of renewable energy

Resumen: Este trabajo analiza la regulación europea para acelerar el despliegue de la energía renovable. Especialmente, la regulación provisional, y el proceso público de toma de decisión, que diseña la Directiva (UE) 2023/2413, para la ordenación territorial de proyectos renovables. La mayor ambición climática para 2030, y el papel fundamental que juega la energía renovable para alcanzar los objetivos climáticos, condujeron a la aprobación inmediata de una normativa provisional para la aceleración del despliegue de los proyectos renovables y, después, a una directiva europea que, ya de manera estable, regula la planificación de sus ubicaciones y nuevos procedimientos para sus autorizaciones. Tarea nada sencilla ni exenta de problemas en su aplicación. Problemas que van desde la necesaria protección de los valores ambientales, hasta la conflictividad social que conlleva la implantación de las grandes centrales renovables, esencialmente eólicas y fotovoltaicas. Además de la complejidad que deriva de la concurrencia de competencias energéticas, ambientales y territoriales. No obstante, nada de esto debe obstaculizar la urgente incorporación, y aplicación, de este nuevo marco europeo de aceleración renovable. Abstract: This paper analyzes the European regulation to accelerate the deployment of renewable energy. In particular, the provisional regulation, and the public decision-making process that regulates the Directive (UE) 2023/2413 for territorial planning and authorization of renewable projects. The increased climate ambition for 2030, and the fundamental role that renewable energy plays in achieving climate objetives, led to the immediate approval of provisional regulations to accelerate the deployment of renewable projects and, later, to a European directive that, not provisionally, regulates the planning of its locations and new procedures for its authorizations. This is not a simple or problem-free task in its application. Issues range from the necessary protection of environmental values to social conflict in the installation of large renewable energy projects, mainly wind and photovoltaic solar energy. In addition to the complexity of the concurrence of energy, environmental and territorial powers. Nevertheless, nothing should hinder the urgent incorporation, and application, of this new European renewable acceleration framework. Palabras clave: Energía renovable. Ordenación territorial. Keywords: Renewable energy. Spatial planning. Índice: 1. Introducción 2. Regulación provisional para la aceleración del despliegue renovable. 2.1. Regulación europea 2.2. Aplicación a nuestro sistema 2.3. Valoración del procedimiento de determinación de afección ambiental de proyectos renovables 3. Ordenación estructural del territorio. Fases del proceso público de toma de decisión 3.1. Presunción de interés público superior 3.2. Fase de diagnóstico territorial previo 3.3. Fase de planificación. 3.3.1. Zonas de aceleración renovable 3.3.2. Áreas para la infraestructura de red y de almacenamiento 3.4. Fase de proyecto 3.4.1. Procedimiento sustantivo 3.4.2. Fase ambiental de proyectos 3.4.3. Fase territorial y urbanística 4. Conclusiones 5. Bibliografía Index: 1. Introduction 2. Interim regulation to accelerate the deployment of renewable energy 2.1. European regulation 2.2. Application to our system 2.3. Assessment of the procedure for determining the environmental impact of renewable projects 3. Structural spatial planning. Phases of the public decision-making process 3.1. Presumption of overriding public interest 3.2. Preliminary territorial diagnosis phase 3.3. Planning phase 3.3.1. Renewable acceleration zones 3.3.2. Areas for network and storage infrastructure 3.4. Project phase 3.4.1. Substantive procedure 3.4.2. Environmental phase of projects 3.4.3. Territorial and urban planning phase 4. Conclusions 5. Bibliography

Debt as catalyst: Empowering renewable energy in developing countries

Financing renewable energy (RE) is essential for transitioning to green energy. Debt finance plays a significant role in shifting from conventional to green energy, with the global percentage of debt financing increasing from 23% in 2013 to 56% in 2020. Previous studies have examined the impact of green finance on RE. This study examines the impact of debt financing on RE capacity in 12 developing countries from 2000 to 2020. Green finance covers various financial tools for environmental sustainability. Therefore, a distinction between green and debt financing impact on RE is essential. The study uncovers a U-shaped relationship between debt financing and RE, suggesting that while initial debt financing may hinder RE deployment beyond a certain level, debt financing promotes RE deployment. The study also draws attention to the influence of financial market conditions, indicating that developing countries can effectively utilize debt finance in favorable financial markets to negate the initial negative impact on RE deployment. These findings offer financial strategists and policymakers valuable insights to support debt financing and increase RE deployment.

Evaluating the feasibility and economics of hydrogen storage in large-scale renewable deployment for decarbonization

Renewable energy (RE) is pivotal for achieving a net-zero future, with energy storage systems essential for maximizing its utility. This study introduces a modeling framework that simulates large-scale RE deployment in Taiwan, emphasizing hydrogen as a primary storage medium. Utilizing hourly time steps, the model assesses various energy generation and storage configurations to demonstrate the technical feasibility of meeting Taiwan's 2050 net-zero target, which calls for a 60 % RE share primarily through solar and wind resources. However, achieving this target and the ambitious goal of 100 % RE penetration requires substantial enhancements in both generation capacity and storage solutions. The research evaluates the economic impacts by analyzing the levelized cost of energy (LCOE), revealing that optimal configurations, such as a wind capacity of 30 GW with a 5 % minimum capacity factor constraint on electrolyzers, significantly reduce LCOE to $0.176/kWh, underscoring the cost-effectiveness of hydrogen storage compared to battery alternatives in large-scale settings. The study underscores the necessity for ongoing investigations into replacing thermal power plants and maintaining grid stability amidst high RE penetration. To fully harness Taiwan's RE potential and contribute to global sustainability, effective deployment of hydrogen storage will require robust stakeholder support, continual technological advancements, and enabling policies. This framework, while tailored to Taiwan's power system, offers insights applicable to various global contexts.

Transient modeling of stratified thermal storage tanks: Comparison of 1D models and the Advanced Flowrate Distribution method

Thermal energy storage (TES) is one of the key technologies for enabling a higher deployment of renewable energy. In this context, the present study analyzes the modeling strategies of one of the most common TES systems: stratified thermal storage tanks. These systems are essential to many solar thermal installations and heat pumps, among other clean energy technologies. Three different one-dimensional tank models are compared by their computing speed and resilience to long time steps. Two of the models analyzed are numerical, one being explicit and the other one implicit, and the other is analytical. The models are validated against data from experiments carried out considering small-scale stratified tanks, showing that their performance can be improved by using the Advanced Flowrate Distribution (AFD) method. The results show that the analytical model maintains its accuracy with longer time steps and is robust against divergence. Conversely, the numerical models show equivalent performance for short time steps, while the computation time is reduced. Although the AFD method shows promising results by achieving an improvement of 43% in terms of Dynamic Time Warping, its parameter optimization must be generalized for different tank designs, flow rates, and temperatures.

Renewable Energy Transition and the Paris Agreement: How Governance Quality Makes a Difference?

This paper investigates whether the Paris Agreement affects renewable energy deployment and how institutional quality moderates this relationship. According to a generalized method of moments estimation for panel data for both developed and developing countries over the period 2000–2022, the Paris Agreement positively influences renewable energy deployment, suggesting that countries are promoting renewable energy to align with institutional expectations to maintain their reputations. The results further show that governance quality is the main determinant of renewable energy deployment. However, the moderating role of governance underscores the less-pronounced impact of the Paris Agreement on countries with high governance indicators, suggesting that these countries may have shifted their focus toward other avenues of climate management beyond the deployment of renewable energy. Furthermore, there is strong evidence of the relationship between forest area, CO2 emission, trade openness, domestic credit, and renewable energy deployment. The results are robust with the use of a dynamic panel threshold model.

Advanced smart HVAC system utilizing borehole thermal energy storage: Detailed analysis of a Uppsala case study focused on the deep green cooling innovation

This article presents and thoroughly examines an innovative, practical, cost-effective, and energy-efficient smart heating, ventilation, and air conditioning (HVAC) system. The fundamental component of this concept is a state-of-the-art method called Deep Green Cooling technology, which uses deep drilling to utilize the ground's heating and cooling potential directly without the need for machinery or heat pumps. This method satisfies demands with the least energy use, environmental impact, and operational costs. In order to effectively oversee and regulate energy production, storage, and utilization, the system consists of an intelligent control unit with many smart controllers and valves. Renewable energy deployment is made easier, and the intelligent automation unit is more compatible with the help of a high-temperature cooling resource with a high supply temperature of 16 °C. The technical, environmental, and financial aspects of the suggested smart office building system in the southern region of Uppsala, Sweden, are evaluated using TRNSYS software. According to the results, boreholes provide more than 28.5 % of the building's energy requirements by utilizing the ground's ability to generate affordable, dependable seasonal thermal energy. The district heating network satisfies the remaining demand, amounting to 787.2 MWh, highlighting the benefits of combining conventional and renewable energy sources for increased supply security and dependability. The borehole thermal energy storage system meets the building's entire cooling need, underscoring the importance of high-temperature cooling systems. The most expensive part of the system is the borehole thermal energy storage, which accounts for over half of the total investment. The system has an appropriate payback period of ten years, proving its long-term profitability and cost-effectiveness, thanks to removing the machinery and heat pump. With 3138 MWh of ground-source heating and cooling, the system saves 17,962 USD by reducing CO2 emissions by about 143.7 t, sufficient to grow 16.3 ha of trees throughout the payback period.