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Many rapidly developing regions have begun to draw the attention of the world. Meanwhile, the energy and environmental issues associated with rapid economic growth have aroused widespread critical concern. Therefore, studying energy, economic, and environmental systems is of great importance. This study establishes a system dynamic model that cover...
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... Simulation based on dynamic system principles is widely used to gain an understanding of complex and dynamic systems. Typically, these dynamic systems consist of variables that interact nonlinearly [9]. Such systems help facilitate an understanding of the impacts of various dynamic factors. ...
The impact of noise can arise from the operation of a mineral ore processing plant in the mining industry, such as PT Freeport Indonesia. The use of advanced technology in modern industry, like SAG#3, has increased production productivity but can also lead to noise emission issues that may endanger workers’ health. This research aims to project the impact of noise in the workplace at a new mineral ore processing plant using dynamic system analysis. Noise sampling was conducted using a sound level meter instrument following SNI 7231:2009. After data collection, dynamic system analysis was performed using Vensim Pro software, involving steps such as causal loop design, stock flow diagram formation, and model verification testing. The analysis results indicate that the noise level exceeds the permissible exposure limit, measuring at 85 dBA. Therefore, the implementation of a Hearing Conservation Program (HCP), personal protective equipment (PPE) policies, and periodic noise control policy evaluation are crucial steps in reducing the impact of noise on employees. This study highlights the need for concrete actions by the company, such as improving the effectiveness of the HCP, enforcing stricter PPE policies, and conducting regular evaluations. Consequently, the company can create a safer work environment and reduce the health risks associated with noise exposure in the workplace.
... Sustainability challenges are addressed throughout the life cycle, from materials synthesis to battery manufacturing, application, and management at the end of life [70]. Nowadays, it is important to rethink the general processes and to move forward towards more sustainable technologies that will be part of a circular economy [71]. High energy density and safe batteries are highly desirable to meet the rapidly growing needs of portable electronics [26,72]. ...
The increasing ecological concerns have attracted the submission of global attention for the urgent need of
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deal impose the long-term climate ambitions of sustainable and net-zero practices. Thus, the energy technology is
continuously emerging towards ultra-clean energy storage, with reaching their full potential. The next generation
batteries pave the way for climate-neutral energy eco-programs. Going through a road of climate neutrality, the
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energy storage procedures. By overcoming the limitations, these self-powered bioenergy storage devices are a
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storage technologies for a sustainable energy future. The emerging technical feasibilities, challenges and solutions for the long-term use of biofuel cell-based biobatteries are also discussed. This form of biobatteries could
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... Firstly, the literature on the 3E system primarily discusses the correlation between the 3E goals. [3][4][5] For example, Lenzen and Dey 6 found that reduction in greenhouse gas emissions and total energy consumption are consistent with broad socio-economic benefits. In addition to exploring relationships of the 3E goals, modeling of the 3E system is another major research stream. ...
In developing countries, the contradiction between environmental protection and economic development has become increasingly serious. The current research focuses on: how to coordinate the relationship between economic development and environmental protection. This study considers energy consumption and environmental emission reduction as the research object. An energy–economy–environment simulation system was developed using Vensim as a modeling platform to clarify the relationship between energy consumption, economic development, and environmental pollution. Based on the data gleaned from Beijing's energy system, the availability of the simulation model is verified through historical inspection and operational tests. Finally, based on the energy–economy–environment simulation system, different development scenarios have been set up to analyze the development trends of energy consumption, economic development, and environmental emission reduction under different scenarios. The results show that the development prospects under the coordinated development scenario are the most reasonable and effective, taking into account the coordinated development of all the three aspects, especially in terms of carbon emission reduction.
... The relevant literature pertains to the 3E system and to the approaches taken to the initial allocation of carbon dioxide emission quotas. Firstly, the literature on the 3E system has mainly discussed the correlations among the 3E goals ( Fu et al., 2017;Dong et al., 2014;Wang et al., 2014). For example, Lenzen and Dey (2002) found that reductions in greenhouse gas emissions and energy consumption are consistent with broad socio-economic benefits. ...
As one of the most important environmental control mechanisms in China, the Emissions Trading Scheme (ETS) is set to alleviate the contradictions among the energy-economy-environment (3E) system and achieve the sustainable development goals (SDGs), while any such scheme requires an initial allocation of carbon dioxide emission quotas. However, the current allocation method dominated by the grandfathering approach does not reflect this original intention well. Integrating the 3E goals with the quota allocation issue, this paper established a dual-objective programming model that considered both the economic and energy goals, while the environmental goal was reflected in constraints. Evidence from Guangdong Province revealed that the 3E approach was superior to the grandfathering approach in some respects. When the weight given to the energy goal was within a certain interval, the 3E approach could simultaneously optimize the total abatement cost and emission efficiency, which not only reflected the “polluter pays” principle but also avoided the possibility of windfall profits from the redundant quota. In other cases, the 3E approach could unilaterally improve the energy or economic goal to reflect decision preferences. Finally, the findings of this paper have important implications for policy makers seeking to develop new regulations for the national ETS.
... In the field of energy-economy-environment systems research, many modeling and analysis methods have been well developed and used [9]. For example, Wang et al. [10] established a system dynamic model and attempted to determine the impacts of socioeconomic development on energy and the environment. Dong et al. [11] improved the multi-criteria decision making (MCDM) method to integrate energy, environment, and economy factors while considering the life cycle assessment. ...
Economic restructuring, energy planning and environmental protection are subject to inherent uncertainties in a compound system with competing decision objectives. Therefore, an inexact multi-objective programming model for regional economy-energy-environment system management has been developed to obtain absolutely “optimal” solutions. Under two comparative scenarios, three subsystems, six industries, four types of energy, and three kinds of air pollution were considered in an optimization model, and a net system benefit and trade-off analysis between subsystems was conducted. The methods of interval-parameter programming and multi-objective programming were incorporated into the model to tackle the uncertainties and complexities reflected in the case study. The model results indicated that the developed model could provide effective linkages among the economy-energy-environment systems and offer decision makers great insight into the reliability tradeoffs for the adjustment of the existing management policy.
... Madlener and Koller [22] summarized the methodology and results of an I-O study on the economic impacts and CO 2 mitigation effects of promoting biomass district heating systems in Vorarlberg, Austria. Compared with other applied methods for the assessment of energy and environmental impacts of socioeconomic activities such as life cycle assessment and system dynamics [14,[23][24][25], I-O analysis does has advantages in offering an approach to embedding energy activities, environmental impacts and environmental economic policies into complex interrelations of all sectors and solving a systematical optimization problem at aggregated macro and sectorally disaggregated micro levels [26,27]. ...
Abstract This paper outlines a complete bioenergy flow incorporating bioresource procurement, feedstock supply, conversion technologies and energy consumption to industrialize the development and utilization of bioenergy. An input-output optimization simulation model is developed to introduce bioenergy industries into the regional socioeconomy and energy production and consumption system and dynamically explore the economic, energy and environmental benefits. 16-term simulation from 2010 to 2025 is performed in scenarios preset based on bioenergy industries, carbon tax-subsidization policy and distinct levels of greenhouse gas emission constraints. An empirical study is conducted to validate and apply the model. In the optimal scenario, both industrial development and energy supply and demand are optimized contributing to a 8.41% average gross regional product growth rate and a 39.9% reduction in accumulative greenhouse gas emission compared with the base scenario. By 2025 the consumption ratio of bioenergy in total primary energy could be increased from 0.5% to 8.2%. Energy self-sufficiency rate could be increased from 57.7% to 77.9%. A dynamic carbon tax rate and the extent to which bioenergy industrial development could be promoted are also elaborated. Regional economic development and greenhouse gas mitigation can be potentially promoted simultaneously by bioenergy utilization and a proper greenhouse gas emission constraint. The methodology presented is capable of introducing new industries or policies related to energy planning and detecting the best tradeoffs of economy-energy-environment.
... As a conventional method, cost benefit analysis has been used to analyze costs and benefits of projects or policies as well as their influence factors (Ward, 2009), such as the applications in agricultural water pollution control (Qiu, 2003), technology innovation in water supply system (Hutton et al., 2007) and water environmental model for comprehensive economic assessment (Qin et al., 2013). System dynamics modeling plays a crucial role on scenario simulation with a holistic consideration, such as the applications in water resource system (Xu et al., 2002), water pollution control (Wang et al., 2012) and the energy and environmental issues associated with rapid economic growth (Wang et al., 2014). Besides the aforementioned approaches, inputeoutput (IeO) approach as one of the most innovative one has been proposed for economic studies with IeO framework extended and linked to environment (Leontief, 1970). ...
This paper develops and illustrates an effective method to explore an optimal policy combination (OPC) for total water pollution control in a river basin through constructing a dynamic optimization simulation model consisting of socioeconomic model, water pollutant model and energy model based on input–output approach. The impacts induced by the introduction of water pollution control policies on economic development and industrial restructuring with water pollutant discharge constraints have been comprehensively evaluated within the horizon of 2011–2020. Based on the objectives of local economic development and water pollution control, the model obtains a global optimal solution with consideration of the full effects. The OPC and industrial restructuring collectively contribute to meeting the water pollutant discharge constraints. The changing trends in pollutant discharge structure and sectoral production are traced after deriving the OPC. The OPC influenced by the diversity and efficiency of policies and constraint settings is specified through clarifying the implementation of each policy and technology that contribute to the reduction in water pollutants promoted by the subsidies. This study helps to realize regional sustainable development by manifesting the best trade-off between economic development and water environmental conservation as well as effectiveness of policies adopted.
Abstrak: Energi memainkan peranan yang sangat penting dalam semua sektor kehidupan (industry, transportasi, rumah tangga, komersil, dan lain-lain), sementara memasak adalah kegiatan utama yang rutin dilakukan di rumah tangga. Bahan bakar yang dominan digunakan adalah gas elpiji dan kayu bakar. Meningkatnya jumlah penduduk akan diiringi oleh meningkatnya kebutuhan akan bahan bakar, yang akan berdampak pada peningkatan konsumsi energi dan peningkatan emisi CO2 (gas rumah kaca) ke atmosfer. Penggunaan kayu bakar yang masih cukup banyak di Kabupaten Bandung Barat sehingga perlu dilakukannya suatu kajian konversi bahan bakar dalam upaya penurunan jumlah pengguna kayu bakar, konsumsi energi dan emisi CO2 yang dihasilkan. Penelitian ini menyajikan analisis terhadap upaya optimalisasi penggunaan energi di sektor domestik (bahan bakar untuk memasak) dengan menggunakan bantuan perangkat lunak STELLA®. Penentuan pola konsumsi bahan bakar di Kabupaten Bandung Barat, Identifikasi terhadap komponen yang mempengaruhi pola konsumsi bahan bakar di rumah tangga, hingga membangun pemodelan sistem dinamik, merupakan tahapan metodologi dalam penelitian ini. Hasil kuesioner menunjukkan bahwa 85% KK di Desa Lembang menggunakan elpiji sebagai bahan bakar utama untuk memasak, sisanya menggunakan kayu bakar. Sementara di Desa Tenjolaut 63% KK menggunakan kayu bakar dan sisanya menggunakan elpiji. Adapun komponen utama yang mempengaruhi penggunaan jenis bahan bakar untuk memasak adalah pendapatan keluarga dan kedekatan lokasi dengan perkebunan/ hutan. Hasil pemodelan menunjukkan bahwa pola konsumsi energi dari kedua desa memiliki kecenderungan untuk terus naik setiap tahunnya. Akan tetapi, jika diberikan skenario intervensi berupa pengurangan jumlah pengguna kayu bakar maka pola konsumsi energinya akan mengalami penurunan begitupun halnya dengan emisi CO2 yang dihasilkan. Di Desa Lembang, pada tahun 2025 diperkirakan nilai konsumsi energinya sebesar 437 TJ, setelah diberikan intervensi yang intensif maka dihasilkan penurunan konsumsi energi hingga menjadi 201 TJ. Di Desa Tenjolaut, konsumsi energi di tahun 2025 diperkirakan sebesar 391 TJ dan kemudian turun menjadi 278 TJ setelah diberikan intervensi. Emisi CO2 di Desa Lembang pada tahun 2020 diperkirakan akan berkurang sebesar 8.536 ton CO2, sementara Desa Tenjolaut diperkirakan total emisi CO2 nya akan berkurang sebesar 11.400 ton CO2 di tahun 2025. Dari paparan diatas dapat disimpulkan bahwa Desa Lembang lebih cepat untuk mencapai program penurunan penggunaan kayu bakar. Kata kunci: konsumsi energi, sektor domestik, sistem dinamik, dan emisi CO2 Abstract: Energy plays a very important role in all sectors of life (industry, transportation, household, and commercial), while cooking is a primary activity done by the household. Cooking fuel that usually used by the households are LPG and firewood. Increase in population and the needs of fuel, will effect on the enhancement of the energy consumption and CO2 emission (green house gases) to the atmosphere. The use of firewood in Bandung Barat regency is much enough, so then we need to have a research in order to find the solution in decreasing the number of people who used a firewood, decreasing the energy consumption and CO2 emission. This research presents an analysis on the optimizing the used of energy in domestic sector, especially the use of cooking fuel, by using software STELLA®. The methodology in this research start with the determination the pattern of fuel consumption in Bandung Barat Regency, identification the components that affect the pattern of fuel consumption in household, and last, built a system dynamics. The questionnaire shows that 85% of household in Lembang village is using LPG and the rest is using firewood. Meanwhile, in Tenjolaut village, 63% of household using firewood and the rest is using LPG. Main components that influence the household in choosing the cooking fuel are income and distance to the plantation or forest. The results of model simulation shows that pattern of energy consumption in both villages have the same trend, which is increasing. However, if we give an intervention by reducing the number of firewood user, the pattern of energy consumption and CO2 emissions is tend to fall. In Lembang village, the energy consumption in 2025 is predicted to be 437 TJ, it will decrease to 201 TJ after some intensive intervention. In Tenjolaut village, the energy consumption in 2025 is predicted to be 391 TJ and after some intervention, it will become 278 TJ. Emission of CO2 in Lembang village will decrease as much as 8.536 ton CO2 in 2020, while in Tenjolaut village, it will decrease at amount of 11.400 ton CO2 in 2025. From the above explanation, it is conclude that Lembang village will able to first reach the program for reducing the used of firewood compared to Tenjolaut village. Keywords: energy, domestic sector, system dynamics, and optimization
