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Book part
Publication date: 22 December 2016

Xu Zhang, Mingling Zhai, Yanyan Wang, Yulei Gao, Haoliang Zhao, Xiang Zhou and Jun Gao

In order to verify the feasibility of different techniques, this chapter further studies the adaptability of two massive straw biomass applications in rural areas in China.

Abstract

Purpose

In order to verify the feasibility of different techniques, this chapter further studies the adaptability of two massive straw biomass applications in rural areas in China.

Methodology/approach

The methods of assessing biomass power generation project with Life Cycle Assessment (LCA), survey and field test of one biogas station, and game-theoretic analysis are adopted.

Findings

The following conclusions can be drawn: The air pollution costs account for more than 60% of the total environmental cost, followed by depreciation expense and maintenance fee of 18%, compared to that of biomass power generation at 0.01711 CNY/kWh. The adopted greenhouse sunlight technology of Solar Biogas Plant in Xuzhou, China, raises the inside average temperature by 11.0 °C higher than outside and keeps the pool temperature above 16 °C in winter, ensuring a gas productivity of biogas project in winter up to 0.5–0.7 m3/m3 by volume. This chapter also analyzes the information cost incurred by asymmetric information in biomass power generation via game theory method and illustrates the information structure with game results. It provides not only a foundation for the policy research in promoting straw power generation but also theoretical framework to solve the problem of straw collection.

Social implications

These studies will propose solutions to relevant problems arisen in the running process.

Originality/value

These studies are all based on real cases, field research, and appropriate theoretical analyses, so, they can reduce the relevant costs and promote the application of relevant technologies.

Details

China and Europe’s Partnership for a More Sustainable World
Type: Book
ISBN: 978-1-78635-331-3

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Article
Publication date: 1 April 2014

Yun Seng Lim, Siong Lee Koh and Stella Morris

Biomass waste can be used as fuel in biomass power plants to generate electricity. It is a type of renewable energy widely available in Malaysia because 12 million tons of…

Abstract

Purpose

Biomass waste can be used as fuel in biomass power plants to generate electricity. It is a type of renewable energy widely available in Malaysia because 12 million tons of the biomass waste is produced every year. At present, only 5 per cent of the total biomass waste in Sabah, one of the states in Malaysia, is used to generate electricity for on-site consumption. The remaining 95 per cent of the biomass waste has not been utilized because the transportation cost for shifting the waste from the plantations to the power plants is substantial, hence making the cost of the biomass generated electricity to be high. Therefore, a methodology is developed and presented in this paper to determine the optimum geographic distribution and capacities of the biomass power plants around a region so that the cost of biomass generated electricity can be minimized. The paper aims to discuss these issues.

Design/methodology/approach

The methodology is able to identify the potential locations of biomass power plants on any locations on a region taking into account the operation and capital costs of the power plants as well as the cost of connecting the power plants to the national grid. The methodology is programmed using Fortran.

Findings

This methodology is applied to Sabah using the real data. The results generated from the methodology show the best locations and capacities of biomass power plants in Sabah. There are 20 locations suitable for biomass power plants. The total capacity of these biomass power plants is 4,996 MW with an annual generation of 35,013 GWh. This is sufficient to meet all the electricity demand in Sabah up to 2030.

Originality/value

The methodology is an effective tool to determine the best geographic locations and sizes of the biomass power plants around a region.

Details

International Journal of Energy Sector Management, vol. 8 no. 1
Type: Research Article
ISSN: 1750-6220

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Book part
Publication date: 15 November 2018

Yi-Ming Wei and Hua Liao

Abstract

Details

Energy Economics
Type: Book
ISBN: 978-1-78756-780-1

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Abstract

Details

Energy Economics
Type: Book
ISBN: 978-1-83867-294-2

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Article
Publication date: 3 April 2017

Dawit Guta and Jan Börner

Ethiopia’s energy sector faces critical challenges to meeting steadily increasing energy demand given limited infrastructure, heavy reliance on hydroelectric power and…

Abstract

Purpose

Ethiopia’s energy sector faces critical challenges to meeting steadily increasing energy demand given limited infrastructure, heavy reliance on hydroelectric power and underdevelopment of alternative energy resources. The purpose of this paper was to identify optimal least cost investment decisions for integrated energy source diversification. The authors seek to contribute to the relevant literature by paying particular attention to the role of public policy for promoting renewable energy investment and to better understand future energy security implications of various sources of uncertainty.

Design/methodology/approach

The authors created a dynamic linear programming model using General Algebraic Modelling System software to explore the national energy security implications of uncertainties associated with increasing technological advances and efficiency, and climate change scenarios.

Findings

To cope with the impacts of drought expected from future climate change on hydroelectric power production, Ethiopia would need to invest in the development of alternative energy resources. Such investment would not only enhance the sustainability and reliability of energy production but also increase costs. Greater rates of technological and efficiency innovations, however, were found to improve electricity diversification and reduce production costs and shadow prices or resource scarcity, and are thus key for enhancing energy security and reducing the risks posed by drought.

Originality/value

The dynamic linear programming model by the authors represents a flexible sector modelling tool for exploring the sustainability and efficiency of energy resource development pathways and evaluating the effects of different sources of uncertainty on the energy sector.

Details

International Journal of Energy Sector Management, vol. 11 no. 1
Type: Research Article
ISSN: 1750-6220

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Article
Publication date: 21 November 2016

Marian Leimbach, Maryse Labriet, Markus Bonsch, Jan Philipp Dietrich, Amit Kanudia, Ioanna Mouratiadou, Alexander Popp and David Klein

Bioenergy is a key component of climate change mitigation strategies aiming at low stabilization. Its versatility and capacity to generate negative emissions when combined…

Abstract

Purpose

Bioenergy is a key component of climate change mitigation strategies aiming at low stabilization. Its versatility and capacity to generate negative emissions when combined with carbon capture and storage add degrees of freedom to the timing of emission reductions. This paper aims to explore the robustness of a bioenergy-based mitigation strategy by addressing several dimensions of uncertainty on biomass potential, bioenergy use and induced land use change emissions.

Design/methodology/approach

Different mitigation scenarios were explored by two different energy-economy optimization models coupled to the same land use model, which provides a common basis for the second generation bioenergy dynamics in the two energy-economy models.

Findings

Using bioenergy is found to be a robust mitigation strategy as demonstrated by high biomass shares in primary energy demand in both models and in all mitigation scenarios.

Practical implications

A variety of possible storylines about future uses of biomass exist. The comparison of the technology choices preferred by the applied models helps understand how future emission reductions can be achieved under alternative storylines.

Originality/value

The presented comparison-based assessment goes beyond other comparison studies because both energy-economy models are coupled to the same land use model.

Details

International Journal of Climate Change Strategies and Management, vol. 8 no. 5
Type: Research Article
ISSN: 1756-8692

Keywords

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Article
Publication date: 11 October 2018

Dongxiao Niu, Weibo Zhao and Zongyun Song

There are thousands of areas excluded from using electrical energy in China. It is mainly because that these places, which are away from towns, have the characteristics of…

Abstract

Purpose

There are thousands of areas excluded from using electrical energy in China. It is mainly because that these places, which are away from towns, have the characteristics of scattered living and low-power consumption and are difficult to construct the power grid. The utilization of energy in remote areas could improve the level of education and quality of life for people living in there, which has great social significance. However, how to choose the optimal power generation model quantitatively according to local energy advantages is a difficult problem.

Design/methodology/approach

To carry out a better assessment of the energy benefits of Chinese rural areas to assist the decision-making of energy utilization project, this paper takes Sunan Yugu Autonomous County in Gansu Province as an example. Four feasible energy utilization scenarios are proposed by analyzing its geographical conditions and re-source advantage, respectively, are photovoltaic power generation, biomass power generation, wind power generation and power grid extension. Based on the above scenarios, the evaluation index system of comprehensive utilization of energy in remote areas is constructed, and the comprehensive benefit of each model is evaluated by adopting entropy-based fuzzy comprehensive evaluation model.

Findings

Evaluation results show that the comprehensive benefits of photovoltaic power generation is the best, followed by power grid extension. Thus, preference should be given to the two models in the energy utilization in Sunan County. This evaluation model can provide a scientific reference for the selection decision-making of energy utilization project, which is helpful to provide the feasibility and efficiency of the construction of energy utilization project.

Originality/value

The authors construct the comprehensive benefit evaluation index system and evaluate the comprehensive benefits of different scenarios are by using entropy - fuzzy comprehensive evaluation model. Then the qualitative problem can be analyzed quantitatively. The purpose of this study is to support the decision-making of energy investment. Simultaneously, the paper also has some practical significance in improving the credibility of the government and the quality of local people’s life.

Details

International Journal of Energy Sector Management, vol. 13 no. 1
Type: Research Article
ISSN: 1750-6220

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Abstract

Details

Energy Economics
Type: Book
ISBN: 978-1-78756-780-1

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Article
Publication date: 13 June 2008

S. Jebaraj, S. Iniyan, L. Suganthi and Ranko Goić

Renewable energy sources are likely to play a major role in meeting the future energy requirement of a developing country like India. Among the various renewable energy…

Abstract

Purpose

Renewable energy sources are likely to play a major role in meeting the future energy requirement of a developing country like India. Among the various renewable energy sources, the bio‐energy plays a key role for the power generation. In this paper, an attempt is made to develop a fuzzy based linear programming optimal electricity allocation model (OEAM) that minimizes the cost and determines the optimum allocation of different energy sources for the centralized and decentralized power generation in India with special emphasis to bio‐energy.

Design/methodology/approach

The OEAM model optimizes and selects the appropriate energy options for the power generation on the factors such as cost, potential, demand, efficiency, emission and carbon tax. The objective function of the model is minimizing the cost of power generation. The other factors are used as constraints in the model. The fuzzy linear programming optimization approach is used in the model.

Findings

The extents of energy sources distribution for the power generation in the year 2020 would be 15,800 GWh (4 per cent) from the coal based plants, 85,400 GWh (20 per cent) from the nuclear plants, 191,100 GWh (44 per cent) from the hydro plants, 22,400 GWh (5 per cent) from the wind mills, 45,520 GWh (11 per cent) from the biomass gasifier plants, 14,112 GWh (3 per cent) from the biogas plants, 8,400 GWh (2 per cent) from the solid waste, 33,600 GWh (8 per cent) from the cogeneration plants and 11,970 GWh (3 per cent) from the mini hydel plants, respectively.

Originality/value

The OEAM has been developed for the electricity demand allocation for the year 2020. An extensive literature survey revealed that carbon tax and emission constraints were never used in the previous models and they are considered in the present model.

Details

Management of Environmental Quality: An International Journal, vol. 19 no. 4
Type: Research Article
ISSN: 1477-7835

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Article
Publication date: 19 June 2007

Gene M. Owens

The purpose of this paper is to examine the several methodologies and activities taken to assess the environmental impacts of a $33 million pilot project undertaken…

Abstract

Purpose

The purpose of this paper is to examine the several methodologies and activities taken to assess the environmental impacts of a $33 million pilot project undertaken through a loan from the Asian Development Bank (ADB) jointly with significant Chinese government investments. The ADB biogas utilization project has supported construction of over 7,500 biogas digesters in more than 140 rural villages. An additional 10,000 biogas digesters are programmed as well as significant investment in biogas production through large‐scale animal agribusinesses. The latter will be supported through investments utilizing the Clean Development Mechanism (CDM).

Design/methodology/approach

The paper provides a longitudinal perspective by: looking at the project's Initial Environmental Examination (IEE) undertaken at appraisal; assessing the ongoing energy and environmental monitoring plan currently under way; and examining the potential for the use of Strategic Environmental Assessment (SEA) as a tool for integrating environmental policy considerations on a regional or provincial level in China.

Findings

Improved technologies for application of renewable energy – in particular successful application and adoption of biogas digesters at the village level – offer the potential to promote sustainable, cost‐effective growth in agriculture with concurrent positive environmental impacts.

Practical implications

Based on the relative success of ongoing efforts to promote the adoption of biomass technologies, a significant expansion of the bioenergy program is under consideration by the Ministry of Agriculture.

Originality/value

The case study suggests that there is potential for use of SEA as a tool for the establishment of regional or provincial environmental priorities by taking account of information on the economic, social and environmental benefits, costs and risks of adopting a national strategy for biomass utilization. SEA is a recent innovation in China and must be adapted to local conditions.

Details

Management of Environmental Quality: An International Journal, vol. 18 no. 4
Type: Research Article
ISSN: 1477-7835

Keywords

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