Electricity Producers Research Articles

Trends and prospects of investigating cases of anticompetitive concerted actions in the form of similar actions in the light of antitrust reform

The article analyzes the peculiarities of the qualification and application by the Antimonopoly Committee of Ukraine (AMCU) and the courts of the institute of «similar actions» (parallel behavior) as a separate form of anticompetitive concerted actions, prosecution for which did not require direct evidence of a violation and the standard of application of which was the economic analysis of the price situation in the market (correlation analysis). It has been established that the institution of «similar actions» has traditionally been used by the AMCU in seasonally volatile markets which are characterized by the oligopolistic structure of the market or the obvious price leadership of several key market participants (core of the market) the pricing strategies of which were adjusted by all other market participants. It is analyzed that despite the established approaches of the AMCU and courts in the application of the institution of «similar actions» in practice such a standard of proof of «cartel conspiracies» was often criticized by practicing lawyers and economists and generally did not meet the standards of proof of cartel conspiracies in the EU. Despite this as can be seen from the author’s analysis the use of the AMCU of the institute of «similar actions» generally achieved the goals of the state’s antimonopoly policy which was to suppress sharp price disturbances in certain socially sensitive markets including in the markets of electricity and oil products by initiating appropriate investigations of cases of violation of economic competition with subsequent prosecution of participants in «price cartels». The author analyzes the further conditions and prospects for the investigation of anticompetitive concerted actions in the form of parallel behavior based on the results of further harmonization of Ukrainian competition legislation with the EU competition rules during the second stage of antitrust reform which is designed to raise the standards of application of the institution of anticompetitive concerted actions (and investigation of cases of the corresponding category) with the simultaneous exclusion of the institution of «similar actions» from national legislation.

Waste-to-Energy technologies for municipal solid waste management: Bibliometric review, life cycle assessment, and energy potential case study

Inadequate municipal solid waste (MSW) management threatens public health and the environment. The waste-to-energy (WtE) route allows the production of electricity, heat, and other valuable chemical products. WtE consists of incineration, gasification, pyrolysis, and some emerging technologies. This study applies the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to conduct a bibliometric analysis of WtE technologies for MSW management research. Scopus-indexed articles were examined between 1971 and 2023. Four periods were determined and analyzed in terms of their most significant results. In addition, the most pertinent journals, Waste Management, Chemosphere, and Waste Management & Research, were ranked first, second, and third, respectively. Moreover, the top contributor countries are one in America (the United States), three in Asia (China, Japan, and India), and five in Europe (Spain, Italy, Germany, Sweden, and the United Kingdom). Throughout a Life Cycle Assessment (LCA) case study, the environmental performance of gasification and incineration as relevant technologies for treating MSW were contrasted. Gasification excelled in seven environmental parameters, suggesting that developing strategies for MSW gasification on a commercial scale should prioritize this aspect. Finally, the energy potential was assessed, which provided valuable information on the societal benefits of WtE technologies in various sectors, such as education, health, and electromobility. Under their respective contexts, stakeholders should enhance MSW sorting policies, pretreatment methods, and emerging valorization options. Increasing global interest in WtE requires a social, environmental, and economic evaluation before implementation.

Green electricity product menu design for retailers without knowing consumer environmental awareness

Adverse selection problem due to asymmetry of consumer environmental awareness (CEA) could reduce electricity retailer's profit and obstructs renewable energy (RE) consumption. This study analyzes mechanism design problem of retailer constricted by RE consumption quota to incentive consumers display true CEA in competitive retail market. Based on principal-agent theory, we develop an extended principal-agent model with the addition of an RE consumption quota constraint to design a green electricity product menu which includes the green level, the price and electric quantity. Influence of information symmetry and quota setting on product attributes, retailer's profit, consumer utility, RE consumption is analyzed, and results show that: (1) Compare to symmetric information, under asymmetric information, green level of product provided to consumers with CEA (denoted as C1) distorts upward, information rent is greater than zero when quota is large, while green level of product provided to consumers without CEA (denoted as C2) distorts downward, with no information rent. (2) Under asymmetric information, unit environmental premium (UEP) of green electricity positively relates to proportion of C1, CEA level, and incremental WTP, and reaches the maximum value at a certain quota. (3) Under asymmetric information, retailer's profit and RE consumption positively relates to proportion of C1, and CEA level. (4) Under asymmetric information, quota difference could contribute to improve retail service quality under competitive retail market, and RE consumption elevation.

Towards inclusive green growth: a holistic analysis of sustainable development goals in the agritourism sector of Jambi Province

This research aims to measure the extent of inclusive green growth in Jambi Province by considering the components of the Inclusive Green Growth Index that contribute to the potential of agrotourism and sustainable growth. It seeks to identify and analyze tourism potentials that can be leveraged to support inclusive green growth in various districts of Jambi Province. Additionally, the study aims to formulate strategies applicable to tourism villages in Jambi Province to realize agrotourism areas focused on improving the well-being of communities and the environment. This research employs both quantitative and descriptive qualitative methodologies. Data sources include primary and secondary data collected through interviews, observations, literature studies, and documentation. Informants were selected using purposive sampling, covering three regencies in Jambi Province: mountainous areas in Merangin Regency, non-mountainous and non-marine areas in Muaro Jambi Regency, and marine areas in Tanjung Jabung Timur Regency. The results indicate that Jambi Province has not yet achieved green inclusivity, with an Inclusive Green Growth Index value of 3.191. The study identifies several sample areas with green development potential, including Rantau Kermas Village in Merangin Regency, Tangkit Baru Village in Muaro Jambi Regency, and Kuala Simbur Village in Tanjung Jabung Timur Regency. Key findings include the green potential of tourism and plantations, dance arts, micro-hydropower plants (PLTMH), electricity, awards, funding, fishermen, locations, culinary, mangrove forests, customary forests, and marine products. Strategies to realize agrotourism areas based on improving community well-being and the environment include strengthening organizations, enhancing the quality of human resources, developing infrastructure, funding programs, applying customary law sustainability, offering tour packages, forming customary forest management groups, conducting research and development, implementing disaster mitigation measures, promoting tourism, and initiating the adopt-a-tree program.

Establishing a hierarchical local market structure using multi-cut Benders decomposition

Local electricity markets (LEMs) such as peer-to-peer (P2P) and community-based markets allow prosumers and consumers to exchange electricity products and services locally. In order to coordinate electricity trading and flexibility services, this paper proposes a hierarchical prosumer-centric market framework with a hybrid LEM and a local flexibility market (LFM). Multi-cut Benders decomposition (MCBD) is employed to decompose the integrated hybrid LEM into a centralized P2P market and multiple community-based markets. The aggregators coordinate energy sources and demands of households in low voltage (LV) distribution networks (DN) as virtual power plants (VPPs) and engage in trading through a P2P market over the medium voltage (MV) DN. In addition, a modified MCBD (M-MCBD) approach is proposed to accelerate the convergence process. The LFM is operated by the distribution system operator (DSO) and is formulated as a mixed-integer nonlinear programming (MINLP) problem which is further relaxed to a mixed-integer second-order cone programming (MI-SOCP) problem. The case study demonstrates that aggregators were able to collaborate on trading within the hybrid LEM to minimize the costs incurred by prosumers within the network. Furthermore, the proposed M-MCBD method improves the scalability of the MCBD by enhancing its convergence speed and accuracy, as demonstrated by testing on problems of varying scales.

The evolution of the economy of Puerto Rico during the post-war: A network analysis

This paper studies the evolution of the productive structure of Puerto Rico between 1967 and 1992. In order to examine the evolution, Input-Output, and network analysis techniques were used, which allowed us to illustrate the significant relationships in the structure. Diameter and Density were estimated, and it was found that economic activity increased between 1967 and 1977. However, between 1982 and 1992, economic activity decreased. In addition, it was found that Electricity and Chemical Products had significant Outdegree measures but had minimal Indegree measures, so they bought small amounts from the rest of the economy.

Life cycle environmental impact assessment of natural gas distributed energy system

Natural gas distributed energy is recognized as a pivotal means to enhance energy efficiency and mitigate carbon dioxide emissions through localized energy cascading. Positioned as a key option for advancing the Sustainable Development Goals, this system optimizes energy utilization near end-users. While maximizing energy efficiency, it is imperative to address potential environmental challenges. A thorough, comprehensive environmental assessment, facilitated by the life cycle assessment method, proves instrumental in meeting this standard. Employing this method enables an intuitive grasp of the environmental strengths and weaknesses inherent in natural gas distributed energy within the power structure. This insight serves as a foundation for informed project decision-making, fostering the growth of the industry. We selected six environmental impact assessment categories based on the CML 2001 method, and conducted the life cycle analysis across four stages. China's inaugural natural gas distributed energy demonstration project was chosen as a model case, and an environmental impact assessment inventory was established, utilizing survey data and literature for comprehensive data collection and analysis. Results from case testing yield environmental impact assessment outcomes, with a specific sensitivity analysis for stages with notable environmental impact factors. The study underscores that the operation phase has the highest environmental impact, comprising 78.37% of the total combined environmental impact, followed by the fuel production phase. Comparative analyses with coal-fired and conventional natural gas power generation, based on dimensionless literature data, reveal that abiotic resources depletion potential is the primary contributor to the environmental impact of 1 kWh of electricity product, constituting 52.76% of the total impact value, followed by global warming potential. Concrete strategies have been outlined for decision-making in both the operational and planning phases of natural gas distributed energy projects. The strengthening of policies is pinpointed towards grid connection and scale expansion.

Determinants of Customer Satisfaction That Impact Electricity Repurchase Decisions: Evidence From Electricity Companies in Indonesia

The purpose of this study is to determine the effect of marketing mix and service quality on customer satisfaction and its impact on electricity repurchase decisions, a case study on electricity companies in Indonesia. This research uses power electricity product categories and customer service provided by electricity companies. The population of this study is electricity customers spread throughout the territory of Indonesia using questionnaires of 250 respondents. This study used a multiplier regression analysis technique with SPSS Statistical Version 25 statistical processing. Research results, First, electricity customer satisfaction is significantly influenced by price, distribution channels, promotions, and service quality; Second, customer satisfaction has a positive and significant effect on the decision to repurchase electricity, Third, simultaneously product, price, distribution channel, promotion, and service quality have a significant effect on customer satisfaction and repurchase decisions, Fourth, customer satisfaction can mediate the influence of price, distribution channels, promotions, and service quality on repurchase decisions, But it is unable to mediate the influence of the product. The results of this study enrich the empirical literature on Marketing Mix theory, Service Quality, Customer Satisfaction, and Purchasing Decisions. Electricity companies can implement a marketing mix and service quality to improve customer satisfaction and electricity repurchase decisions. The originality of this study on mediating customer satisfaction on the effect of marketing mix and service quality on electricity repurchase decisions, no previous study has examined its effect on electricity companies in Indonesia.

Phase Formation in NaH2PO4–VOSO4–NaF–H2O System and Rapid Synthesis of Na3V2O2x(PO4)2F3-2x

Renewable electricity products, for example, from wind and photovoltaic energy, need large-scale and economic energy storage systems to guarantee the requirements of our daily lives. Sodium-ion batteries are considered more economical than lithium-ion batteries in this area. Na3V2(PO4)2F3, NaVPO4F, and Na3(VO)2(PO4)2F are one type of material that may be used for Na-ion batteries. In order to better understand the synthesis of these materials, the phase formation in a NaH2PO4–VOSO4–NaF–H2O system under hydrothermal conditions was studied and is reported herein. This research focused on the influences of the sodium fluoride content and hydrothermal crystallization time on phase formation and phase purity. The phase transformation between Na(VO)2(PO4)2(H2O)4 and Na3V2O2x(PO4)2F3-2x was also studied. Na3V2O2x(PO4)2F3-2x with a high degree of crystallinity can be obtained in as short as 2 h via hydrothermal synthesis using a conventional oven at 170 °C without agitation. All compounds obtained in this research were studied mainly using powder X-ray diffraction, scanning electron microscopy, energy-dispersive X-ray spectrometry, and Fourier-transform infrared spectroscopy.

Choosing both/and: Encouraging green energy purchases in community choice aggregation

Community Choice Aggregation (CCA) programs offer green electricity products to satisfy customers’ demand for renewable energy. However, it is not clear how consumers approach combining renewable procurement options, such as installing rooftop solar and subscribing to green electricity. This study estimates the probability that residential CCA customers choose to purchase green energy at a price premium when they have already adopted (1) rooftop solar, (2) non-solar distributed energy resources such as electric vehicles, and (3) a time-varying electric rate. Based on residential customer data from Silicon Valley Clean Energy, a CCA in California, we fit a multi-level probit model that accounts for the potential clustering of green participation rates at the zip code level. Our findings suggest that households with installed solar panels, electric vehicles, time-varying electric rates, and lower energy consumption are more likely to purchase green electricity. Ultimately, this study provides insight into strategies for incentivizing consumers to combine green energy options to achieve broader goals related to climate change and grid resilience.

Passive cooling of photovoltaic panels with latent heat storage unit: Analyzing the effects of using fins and iron nanoparticles on the performance, economy and environmental impact

This study investigates the effect of using a latent heat storage unit (LHSU) equipped with fins and nanoparticles (NAPs) on the performance of a photovoltaic (PV) system. Various PV systems were assessed for their economic viability and environmental impact. Initially, three different PV systems were designed and analyzed: a conventional PV, a PV with a paraffin-containing LHSU, and a PV with LHSU integrating 3 fins and paraffin. Results from the first set of experiments indicated that the fin-integrated system delivered the best performance. In the second phase, the most effective system from the initial stage (PV with 3 fins-added LHSU) was compared to systems with 6 fins-integrated LHSU and LHSUs integrating 6 fins and iron (Fe) NAPs. The stage specifically examined the effects of doubling the number of fins and adding NAPs to the paraffin on performance. It was found that increasing the number of fins resulted in a levelized cost of electricity (LCOE) of 0.69 USD/kWh. The electrical (module) efficiency of the system incorporating 6 fins and NAPs improved by 15.51 % compared to the conventional system. Moreover, the surface temperature of the PV panel was reduced by 7.28–17.93 % using these modifications. Performance ratio values for the five different analyzed PV systems ranged between 0.597 and 0.689. From an environmental perspective, integrating aluminum into PV systems lead to a total environmental impact of 4.73 Pt/h and an environmental impact of electricity produced (EIE) of 0.90 mPts/kWh. However, introduction of NAPs significantly increased these values to 17.76 Pt/h and 3.09 mPts/kWh, respectively. This study highlights the potential of the proposed passive cooling technique for enhancing PV system efficiency while also pointing out the necessity for design improvements to optimize economic and environmental impacts.

Multi-aspect exergo-economic/environmental study/optimization of an eco-friendly heat integration process for gas turbine modular helium reactors in integration with a Stirling engine

As a nuclear power source, gas turbine modular helium reactors (GT-MHR) can play a major role in the energy industry due to their high safety index and low operating costs. In light of the GT-MHR's high heat capacity, this study integrates a GT-MHR cycle with a Stirling engine to achieve a high-efficiency electricity production framework in an eco-friendly framework. Multi-aspect study from energy, exergy, economic and exergoenvironmental viewpoints are conducted. Detailed heat exchanger modeling is performed to accurately evaluate the system's performance conditions as part of the design process. The outcomes of this study reveal that in the optimum operating mode, the turbine's inlet temperature and expansion ratio are 1300 K and 2, respectively. The compressor compression ratio is 2.1, the Stirling engine inlet temperature is 850.6 K, and the regenerative effectiveness is 0.866. Consequently, the system's total electricity becomes 325.57 MW with 54.26 % energetic and 75.13 % exergetic efficiencies. The economic assessment of the system reveals that the unit electricity product cost is 8.9 $/GJ, and the total investment cost is 12737 $/h. Also, the optimal exergoenvironmental results show an exergoenvironmental index of 0.237, an environmental damage effectiveness index of 0.0031, and an exergetic stability factor of 0.24. Compared to GT-MHR, GT-MHR/KC, GT-MHR/APC, and GT-MHR/ORC, the newly designed system produces 44.57, 21.47, 29.74, and 25.17 MW more electricity and is more energetically efficient by 28.3 %, 24.45 %, 25.8 %, and 25.07 %, respectively.

Buy solar, get cashback: do consumer subsidies described as promotions influence electricity choices?

Most countries want to make the transition to increased or even exclusive use of renewable energy. To achieve this goal, how can individuals be persuaded to use more renewable electricity? For example, does the way energy companies communicate so-called consumer subsidies matter in this regard, and if so, which communication strategy is best? For example, is a monetary promotion (e.g., cashback) better than a non-monetary one (e.g., gift)? In a total of four studies (with a total of more than 1700 participants), we investigated what type of promotion most influenced the choice of a renewable energy product, varying, for example, the environmental friendliness of the renewable energy product. The monetary promotion (e.g., get $35 back through subsidies) appeared to be the most successful; it significantly increased the choice of the renewable electricity product (i.e., between 12-22%). However, this result was only evident when the subsidized renewable product was not the product already preferred by most individuals. Other measures, such as the willingness to pay (WTP), showed no differential effects. Overall, the observed pattern suggests that promoting renewable energy choices, is similar to promoting donations to a charity. Accordingly, the description of the consumer subsidy as a monetary promotion (i.e., cashback or negative labeling) is most effective in terms of promotion. However, the effect of monetary promotions seems to diminish if the subsidized product is already the product preferred by most consumers. Nevertheless, the use of monetary promotions can encourage the transition to renewable energy.

The good, the bad, and the future: Systematic review identifies best use of biomass to meet air quality and climate policies in California

AbstractCalifornia has large and diverse biomass resources and provides a pertinent example of how biomass use is changing and needs to change, in the face of climate mitigation policies. As in other areas of the world, California needs to optimize its use of biomass and waste to meet environmental and socioeconomic objectives. We used a systematic review to assess biomass use pathways in California and the associated impacts on climate and air quality. Biomass uses included the production of renewable fuels, electricity, biochar, compost, and other marketable products. For those biomass use pathways recently developed, information is available on the effects—usually beneficial—on greenhouse gas (GHG) emissions, and there is some, but less, published information on the effects on criteria pollutants. Our review identifies 34 biomass use pathways with beneficial impacts on either GHG or pollutant emissions, or both—the “good.” These included combustion of forest biomass for power and conversion of livestock‐associated biomass to biogas by anaerobic digestion. The review identified 13 biomass use pathways with adverse impacts on GHG emissions, criteria pollutant emissions, or both—the “bad.” Wildfires are an example of one out of eight pathways which were found to be bad for both climate and air quality, while only two biomass use pathways reduced GHG emissions relative to an identified counterfactual but had adverse air quality impacts. Issues of high interest for the “future” included land management to reduce fire risk, future policies for the dairy industries, and full life‐cycle analysis of biomass production and use.

Carbon footprint of residents' online consumption in China

Although China boasts the largest online consumption market, there has been no prior case study addressing the carbon footprint of online consumption. The rapid expansion of online consumption has posed a challenge to China's carbon neutrality pledge. This paper aims to fill this crucial gap by conducting a pioneering study based on survey data collected from 6000 households. To achieve this goal, this study has combined provincial Multi-Regional Input-Output (MRIO) tables with residents' online consumption calculated by the Non-Linear Optimization model, and applied the Environmental Input-Output Life Cycle Assessment (EIO-LCA) model to calculate the carbon footprint of residents' online consumption. Result indicated that the average carbon footprint of residents' online consumption was 0.46 tCO2e in 2016, accounting for 12.30% of the total consumption carbon footprint. Notably, high-emission regions include Beijing-Tianjin, Jiangsu-Zhejiang-Shanghai, and Hubei. Moreover, the dominant sources of the online consumption carbon footprint were electricity, food, clothing, and beauty products. Furthermore, we found that the carbon footprint of online consumption tends to increase with income, with differential income elasticities observed for various products and income groups. We also quantified the average expenditure-based life-cycle carbon coefficient for parcel delivery (0.22 kgCO2e/yuan) and conducted two scenario analyses to assess its impact. From a policy perspective, our research on measuring the carbon footprint of residents' online consumption can provide valuable insights for designing future policies and decisions related to e-commerce and key sectors along the supply chains. Additionally, it will further encourage Chinese residents to adopt low-carbon lifestyles.

Economic and Organizational Mechanism for Stimulating Development of Environmentally Friendly Technologies in Transport

he demand for electric vehicles and plug-in hybrids, supported by green technologies and the IT-sector, is making significant changes in the structural transformation of the economy. The coverage of energy and raw materials markets bythe reduction in the consumption of petroleum products does not allow us to assert confidently that tax losses will be compensated by revenues from the increase in electricity consumption, including from the transport infrastructure. This is partly due to different levels of taxation of electricity and oil products. Removing obstacles hindering the development of electric vehicles through fiscal policy is an important prerogative of the state. On the part of the state, timely measures are needed regarding the revision of taxes and tax rates in support of the development of mechanisms for the introduction of environmentally friendly electric transport, plug-in hybrids, adaptive expansion of infrastructure for vehicle categories M, MG, N, NG, as well as minimizing losses from tax maneuvers of foreign trade relations. Investors are more likely to respond to positive market signals, where in many cases government regulation has a significant impact on the sustainable and economically safe formation of the investment climate. The development of electric transport narrows the fleet of cars on internal combustion engines, or on a fossil energy source. The fall in demand for oil products will hold back the replenishment of the budget revenue savings by reducing tax revenues on fuel. In order to avoid loss of economic benefits with the renewal of the car fleet with electric vehicles, the paper examines the mechanism for adapting the motor vehicle service to modern challenges of the global economy.

A comprehensive review on the utilization of waste generated from dairy industry

Waste is a natural and unavoidable component of all processes, and it can be caused by a number of things, including resource utilisation, process inefficiencies, and the removal of less usable feedstock components. Due to the growing worldwide population, the dairy sector is expanding and producing waste such wastewater (from cleaning, processing, and maintenance), whey, and sludge. These elements are nutrient-rich and contain both organic and inorganic compounds. Dairy waste is also a danger to the environment due to the alkaline and acidic detergents and sterilising agents that are included in it. Thus, utilisation of biological techniques, such as microbial treatment, is necessary for the sustainable valorization of dairy waste. This paper highlights recent advancements in the use and valuation of dairy waste by microorganisms. Using microbes to handle dairy waste aerobically and anaerobically can be a sustainable and environmentally friendly way to produce biofertilizers, biofuels, electricity, and other biobased products.

Real-Time Sales Forecasting Algorithm of Electronic Commerce Products in a Smart City Based on Weighted Naive Bayes

Abstract In the real-time optimization and prediction of online sales of electronic (e-)commerce products, because of the diversity of users, randomness of data, limited server capacity, and statistics, the similarity index of node attributes is constrained, so false user information cannot be accurately analyzed and the accuracy of user activity analysis is poor. This paper proposes a Real-Time Sales Forecasting Algorithm of Electronic Commerce Products Based on Weighted Naive Bayes, product sales of the electricity suppliers push information do participles, cleaning, such as pretreatment, according to the push of information architecture space model, after pretreatment in high-dimensional sparse will be the basis of space model electricity product sales push information into the automatic encoder. According to the learning and layer-by-layer abstract output of e-commerce, product sales push information feature vectors, select the feature words, calculate the intraclass dispersion and interclass clustering degree of the feature words, and complete the real-time prediction of online sales of e-commerce products based on weighted naive Bayes. The experimental results show that the proposed algorithm realizes the real-time prediction of online sales of e-commerce products and provides a scientific basis for the optimization prediction of users’ sales potential.

Enhancing the performance of a Novel multigeneration system with electricity, heating, cooling, and freshwater products using genetic algorithm optimization and analysis of energy, exergy, and entransy phenomena

The fuzzy proposed system is a multigeneration system capable of producing different multi-products including power, cooling, heating, and fresh water. The energy required for the operation of the system is geothermal renewable energy, which is a very serious issue in the green transient. To analyze the function of the suggested subsystems, such thermodynamic rules have been considered as an important tool. Another important parameter that is evaluated is the entransy parameter that evaluates the function of thermodynamic cycles. In this study, the rate of G˙loss is achieved at 699699 KW.K. The results of the suggested system demonstrate the rate of electrical power is 226.1 KW, the rate of cooling load is 24.5 KW, freshwater production is 0.235 kg/s, and the heating load is 418.5 KW of the system output products. In addition, energy efficiency and exergy are calculated as 59.51% and 51.5%, respectively. To provide an optimal performance state of the system, a multi-objective optimization method with a genetic algorithm method is used to optimize the objective functions (G˙loss and ηII) of Matlab software. In this research, it has been attempted to reduce entransy and increase exergy efficiency using algorithm genetic (GA).

Effects and interactions of labels’ color scheme and the individual difference variable lay rationalism on pro-environmental choices

Recent eco-labeling research suggests that labels that use traffic light colors to communicate an evaluation of product attributes are more effective in guiding consumer choices toward environmentally friendlier products than those that merely provide quantitative information. However, it remains unclear whether the effect of traffic light labels is attributable to the additional information provided by the colors or whether the colors themselves impact consumer choices. We investigated the influence of labels' color scheme on consumers' preferences for environmentally friendly electricity. In two experiments, participants chose between electricity products differing in price and carbon emissions. The products had labels based on either traffic light colors, grayscale colors, or text (Study 2) to classify carbon emissions as low, medium, or high. Furthermore, we used the lay rationalism scale to assess participants' tendency to base decisions on feelings versus reason. The two main findings were that traffic light labels increased the choice share of low-emission electricity relative to text-based labels but not relative to grayscale labels, and that there is an interaction effect between labeling format and lay rationalism. Another finding is that both emotional affinity toward nature and guilt proneness are strong predictors of preference for low-emission electricity. Our data underline the importance of examining different label formats and further suggest that labels should be designed according to a target group's decision-making style.