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Article
Publication date: 12 July 2021

Farid Asgari, Fariborz Jolai and Farzad Movahedisobhani

Pumped-storage hydroelectricity (PSH) is considered as an effective method to moderate the difference in demand and supply of electricity. This study aims to understanding…

Abstract

Purpose

Pumped-storage hydroelectricity (PSH) is considered as an effective method to moderate the difference in demand and supply of electricity. This study aims to understanding of the high capacity of energy production, storage and permanent exploitation has been the prominent feature of pumped-storage hydroelectricity.

Design/methodology/approach

In this paper, the optimization of energy production and maintenance costs in one of the large Iranian PSH has been discussed. Hence, a mathematical model mixed integer nonlinear programming developed in this area. Minimizing the difference in supply and demand in the energy production network to multiple energies has been exploited to optimal attainment scheme. To evaluate the model, exact solution CPLEX and to solve the proposed programming model, the efficient metaheuristics are utilized by the tuned parameters achieved from the Taguchi approach. Further analysis of the parameters of the problem is conducted to verify the model behavior in various test problems.

Findings

The results of this paper have shown that the meta-heuristic algorithm has been done in a suitable time, despite the approximation of the optimal answer, and the consequences of research indicate that the model proposed in the studied power plant is applicable.

Originality/value

In pumped-storage hydroelectricity plants, one of the main challenges in energy production issues is the development of production, maintenance and repair scheduling concepts that improves plant efficiency. To evaluate the mathematical model presented, exact solution CPLEX and to solve the proposed bi-objective mixed-integer linear programming model, set of efficient metaheuristics are used. Therefore, according to the level of optimization performed in the case study, it has caused the improvement of planning by 7%–12% and effective optimization processes.

Details

Journal of Modelling in Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5664

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Article
Publication date: 7 April 2015

Peter Ball

Rising energy costs and potential scarcity are driving energy reduction initiatives in manufacturing companies. The reduction in energy use is complementary to the classic…

Abstract

Purpose

Rising energy costs and potential scarcity are driving energy reduction initiatives in manufacturing companies. The reduction in energy use is complementary to the classic lean production philosophy and the lean and green literature implies that reducing energy waste supports lean objectives. The purpose of this paper is to examine this perceived positive correlation and identify the impact level of energy reduction of lean product flow.

Design/methodology/approach

To achieve this, published case studies and practices from interview were gathered and categorised against a waste management hierarchy.

Findings

Energy reduction activities implicitly reduce waste which is compatible with the lean waste objective, however, when applying the waste hierarchy principle to energy efficiency practice, lean product flow is progressively constrained or compromised towards the lower levels of the hierarchy.

Research limitations/implications

The hierarchical classification seeks to communicate how reported energy efficiency improvements will/will not impact on flow. The research focuses on the modification of existing discrete part production facilities towards greater energy efficiency and neglects alternative production technologies and new build. The results suggest that as manufacturers seeking to be more energy efficient move away from preventative actions to more reduce and reuse actions then production flexibility could become restricted and the design of production facilities make re-think the fast, linear and short flow of product.

Practical implications

Examples of industrial practices are provided to show the implications of energy reduction practice on production flow.

Originality/value

Categorises the relationship between classic lean and industrial low-energy initiatives to provide insight to how higher energy cost could impact on production.

Details

Journal of Manufacturing Technology Management, vol. 26 no. 3
Type: Research Article
ISSN: 1741-038X

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Abstract

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Energy Security in Times of Economic Transition: Lessons from China
Type: Book
ISBN: 978-1-83982-465-4

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Article
Publication date: 11 November 2013

Aija Paananen and Saku J. Mäkinen

The purpose of this study is to investigate whether news media as a form of social communication regarding pressing, important, and contemporary issues could be used as a

Abstract

Purpose

The purpose of this study is to investigate whether news media as a form of social communication regarding pressing, important, and contemporary issues could be used as a leading indicator of technology adoption. For technology foresight, monitoring and analyzing energy technologies is in the spotlight due to their strategic importance to the agenda of competitive and sustainable economic growth.

Design/methodology/approach

The trends in renewable energy production and news media are determined and compared to draw inferences in foresight concerning the use of renewable energy technologies in energy production. Consequently, the data concern wind and solar energy production and their representation in news media in Germany and the UK. The analysis proceeds as a quasi-experiment treating each yearly observation of energy production as a function of news media data with lagged variables.

Findings

The study reveals consistent dynamics in the lag in the primary production of energy in related technologies compared to the media visibility of the respective technologies.

Originality/value

This study explores the prospects of using news media data in foresight analysis concerning renewable energy production and provides many fruitful avenues for foresight research in investigating relationships between technology adoption and media exposure.

Details

Foresight, vol. 15 no. 6
Type: Research Article
ISSN: 1463-6689

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Article
Publication date: 18 November 2013

Chih-Chun Kung, Bruce McCarl, Xiaoyong Cao and Hualin Xie

This study aims to explore Taiwan's potential for bioenergy production using feedstocks grown on set-aside land and discusses the consequent effects on Taiwan's energy

Abstract

Purpose

This study aims to explore Taiwan's potential for bioenergy production using feedstocks grown on set-aside land and discusses the consequent effects on Taiwan's energy security plus benefits and greenhouse gas (GHG) emission.

Design/methodology/approach

The Modified Taiwan Agricultural Sector Model (Modified TASM), based on price endogenous mathematical programming, was used to simulate different agricultural policies related to bioenergy production. To do this simulation, the TASM model was extended to include additional bioenergy production possibilities and GHG accounting.

Findings

Taiwan's bioenergy production portfolio depends on prices of ethanol, electricity and GHG. When GHG prices go up, ethanol production decreases and electricity production increases because of the relatively stronger GHG offset power of biopower.

Originality/value

Taiwan is interested in producing bioenergy but only limited information is available. This study provides the information on potential bioethanol and bioelectricity production from various energy crops, GHG emission offset from bioenergy, and regional energy security.

Details

China Agricultural Economic Review, vol. 5 no. 4
Type: Research Article
ISSN: 1756-137X

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Article
Publication date: 26 June 2009

Thomas Cleff, Christoph Grimpe and Christian Rammer

This paper aims to use a lead market approach for each of 25 European Union member states (EU‐25) to assess the likelihood that locally preferred innovation designs in the…

Abstract

Purpose

This paper aims to use a lead market approach for each of 25 European Union member states (EU‐25) to assess the likelihood that locally preferred innovation designs in the Energy Production Sector will become successful in other countries. Based on the lead market analysis, it aims to outline implications for innovation management.

Design/methodology/approach

The paper identifies and operationalises indicators to measure and compare the lead market properties of the energy production sector at international level. The indicators used are taken from the Community Innovation Surveys, the Eurostat/OECD PPP and Expenditure Database, the UNCTAD FDI‐Database, the EU Business Demography Statistics, and the Eurostat Foreign Trade Database (Comext).

Findings

French energy production companies proved the most effective at orienting their product innovations towards the needs of customers in international markets. The companies in other countries within the EU trade on home markets that exhibit barriers to innovation in at least two of the lead market factors. Therefore, the lead market, France, should be the focal point for the development of global innovation designs. By focusing on innovation designs which respond to the preferences within the French lead market, the innovation management of a company can leverage the success experienced in the lead market for the product's global market launch.

Research limitations/implications

Indicator values were not always available for lead market properties of the energy production sector in every member state. This was particularly true when it came to measuring market structure advantage and transfer advantage.

Practical implications

Market research on the lead market takes centre stage when product innovations are in the development phase. Companies in countries that do not have sufficient above‐average lead market attributes must target product innovations to fit the preferences of users in the lead market – in this case, the French clients of the energy production sector. The observation of the lead market can take on varying degrees of intensity. These range from simply making use of listening posts in the lead market to testing and/or launching new products there.

Originality/value

This paper is the first to apply the lead market approach to systematically investigate demand‐specific innovation drivers in the energy production sector. Its consideration of the demand side of innovation is of the utmost interest for the more recent strains of innovation research as well as for innovation management in the energy production sector itself.

Details

International Journal of Energy Sector Management, vol. 3 no. 2
Type: Research Article
ISSN: 1750-6220

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Article
Publication date: 13 April 2018

Mohsen Shahandashti, Baabak Ashuri and Kia Mostaan

Faults in the actual outdoor performance of Building Integrated Photovoltaic (BIPV) systems can go unnoticed for several months since the energy productions are subject to…

Abstract

Purpose

Faults in the actual outdoor performance of Building Integrated Photovoltaic (BIPV) systems can go unnoticed for several months since the energy productions are subject to significant variations that could mask faulty behaviors. Even large BIPV energy deficits could be hard to detect. The purpose of this paper is to develop a cost-effective approach to automatically detect faults in the energy productions of BIPV systems using historical BIPV energy productions as the only source of information that is typically collected in all BIPV systems.

Design/methodology/approach

Energy productions of BIPV systems are time series in nature. Therefore, time series methods are used to automatically detect two categories of faults (outliers and structure changes) in the monthly energy productions of BIPV systems. The research methodology consists of the automatic detection of outliers in energy productions, and automatic detection of structure changes in energy productions.

Findings

The proposed approach is applied to detect faults in the monthly energy productions of 89 BIPV systems. The results confirm that outliers and structure changes can be automatically detected in the monthly energy productions of BIPV systems using time series methods in presence of short-term variations, monthly seasonality, and long-term degradation in performance.

Originality/value

Unlike existing methods, the proposed approach does not require performance ratio calculation, operating condition data, such as solar irradiation, or the output of neighboring BIPV systems. It only uses the historical information about the BIPV energy productions to distinguish between faults and other time series properties including seasonality, short-term variations, and degradation trends.

Details

Built Environment Project and Asset Management, vol. 8 no. 2
Type: Research Article
ISSN: 2044-124X

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Article
Publication date: 28 September 2010

Nelson Abila

The purpose of this paper is to make a preliminary analysis of the potentials for the adoption of biofuels in Nigeria. This initial analysis aims to capture some of the…

Abstract

Purpose

The purpose of this paper is to make a preliminary analysis of the potentials for the adoption of biofuels in Nigeria. This initial analysis aims to capture some of the possibilities in the adoption of biofuel and the promotion of the cultivation of energy crops and processing of biofuels in Nigeria. Taking a step towards biofuel adoption is crucial for Nigeria to remain an important player in the world energy market, as there is a shift in global fossil fuel consumption.

Design/methodology/approach

The study adopted a desk review of existing literatures on global biofuels production potentials. A synthesis of data from the Food and Agriculture Organization (FAO) secondary database on major energy crops production was also conducted, while the GIS map was generated from GIS data sourced from the International Institute of Tropical Agriculture, Ibadan, Nigeria.

Findings

Nigeria has immense potential for energy crops cultivation and the production of bioethanol and biodiesel. The existing database shows that Nigeria ranks very high in terms of production of the major energy crops such as soybean, palm oil, sesame and cassava. The rainfall distribution shows that most energy crops can be grown all over Nigeria. Nigeria has the capacity to be a leading exporter of biofuels. The adoption of biofuels can also ease the financial strain relating to the heavy burden of fossil fuel subsidy and also enhance local livelihoods within the production chains.

Practical implications

With the very high potential for biofuel production, the Government as well as private investors should take steps towards investing in agriculture for the production of energy crops and the establishment of biofuel‐processing plants in Nigeria.

Originality/value

The paper is a preliminary analysis of bio‐economic and environmental modeling of the adoption of biofuels in the energy sector in Nigeria. This analysis has opened up the focus of the bigger study, modeling the biological, economic, environmental and other impacts of biofuel adoption.

Details

Management of Environmental Quality: An International Journal, vol. 21 no. 6
Type: Research Article
ISSN: 1477-7835

Keywords

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Abstract

Details

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

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Article
Publication date: 1 March 2003

Amjed Al‐Ghanim

This research has addressed a quantitative approach for improving energy management through applying statistical techniques aimed at identifying and controlling factors…

Abstract

This research has addressed a quantitative approach for improving energy management through applying statistical techniques aimed at identifying and controlling factors linked to energy consumption rates at manufacturing plants. The paper presents analysis and results of multiple linear regression models used to establish the significance of a number of energy related management factors in controlling energy usage. Regression models constructed for this purpose proved the existence of statistically valid relationships between electrical energy consumption and maintenance and production management factors, namely, failure rate and production rate, where R2 values of the magnitude of 65 per cent were obtained. Furthermore, an economical treatment based on the derived regression models was formulated and demonstrated that effective management practices associated with proper maintenance, cost accounting and reporting systems can result in highly significant savings in energy usage.

Details

Journal of Quality in Maintenance Engineering, vol. 9 no. 1
Type: Research Article
ISSN: 1355-2511

Keywords

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