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Iran is currently among the countries with high energy consumption levels. Based on the statistics published on the country's hydrocarbon balance sheet, the industrial sector was the largest energy user of all the sectors, followed by the household and transportation sectors. Besides, production lines account for the highest percentage of the industrial sector energy consumption. Accordingly, this paper aims to investigate the effects of coordinated energy management and manufacturing strategies to increase energy management performance.

This paper collected the required information on energy management and manufacturing from the experts of petrochemical companies; and oil and gas refineries and then examined their relationship. Moreover, the questionnaire tool was used to measure the independent variable.

The evaluations showed that organizations with coordinated and uncoordinated strategies do not exhibit equal energy management performance. Organizations with a coordinated combination of strategies have higher energy management performance than those with an uncoordinated combination of strategies. Combinations such as 11, 22, 33 and 44 are among the more coordinated combinations, which lead to higher performance.

Reviewing the studies in this regard revealed that limited and a handful of research papers were carried out on organizations' energy management strategies. None of the existing research has considered energy management strategies as a subsystem of an organization or specified its coordination with manufacturing strategies. However, this research has delved into this issue and our findings confirm certain assumptions of past studies and contribute to evaluating its effects on energy management performance.

Rapidly increasing the proportion of installed wind power capacity with zero carbon emission characteristics will help adjust the energy structure and support the realization of carbon neutrality targets. The intermittency of wind resources and fluctuations in electricity demand has exacerbated the contradiction between power supply and demand. The time-of-use pricing and supply-side allocation of energy storage power stations will help “peak shaving and valley filling” and reduce the gap between power supply and demand. To this end, this paper constructs a decision-making model for the capacity investment of energy storage power stations under time-of-use pricing, which is intended to provide a reference for scientific decision-making on electricity prices and energy storage power station capacity.

Based on the research framework of time-of-use pricing, this paper constructs a profit-maximizing electricity price and capacity investment decision model of energy storage power station for flat pricing and time-of-use pricing respectively. In the process, this study considers the dual uncertain scenarios of intermittency of wind resources and random fluctuations in power demand.

(1) Investment in energy storage power stations is the optimal decision. Time-of-use pricing will reduce the optimal capacity of the energy storage power station. (2) The optimal capacity of the energy storage power station and optimal electricity price are related to factors such as the intermittency of wind resources, the unit investment cost, the price sensitivities of the demand, the proportion of time-of-use pricing and the thermal power price. (3) The carbon emission level is affected by the intermittency of wind resources, price sensitivities of the demand and the proportion of time-of-use pricing. Incentive policies can always reduce carbon emission levels.

This paper creatively introduced the research framework of time-of-use pricing into the capacity decision-making of energy storage power stations, and considering the influence of wind power intermittentness and power demand fluctuations, constructed the capacity investment decision model of energy storage power stations under different pricing methods, and compared the impact of pricing methods on optimal energy storage power station capacity and carbon emissions.

1. Electricity pricing and capacity of energy storage power stations in an uncertain electricity market.

2. Investment strategy of energy storage power stations on the supply side of wind power generators.

3. Impact of pricing method on the investment decisions of energy storage power stations.

4. Impact of pricing method, energy storage investment and incentive policies on carbon emissions.

5. A two-stage wind power supply chain including energy storage power stations.

Electricity pricing and capacity of energy storage power stations in an uncertain electricity market.

Investment strategy of energy storage power stations on the supply side of wind power generators.

Impact of pricing method on the investment decisions of energy storage power stations.

Impact of pricing method, energy storage investment and incentive policies on carbon emissions.

A two-stage wind power supply chain including energy storage power stations.

Optimization of energy planning for growth and sustainable development has become very important in the context of climate change mitigation imperatives in developing countries. Existing models do not capture developing country realities adequately. The purpose of this paper is to conceptualizes a framework for energy strategy optimization of the Indian energy sector, which can be applied in all emerging economies.

Hierarchical multi‐objective policy optimization methodology adopts a policy‐centric approach and groups the energy strategies into multi‐level portfolios based on convergence of objectives appropriate to each level. This arrangement facilitates application of the optimality principle of dynamic programming. Synchronised optimization of strategies with respect to the common objectives at each level results in optimal policy portfolios.

The reductionist policy‐centric approach to complex energy economy modelling, facilitated by the dynamic programming methodology, is most suitable for policy optimization in the context of a developing country. Barriers to project implementation and cost risks are critical features of developing countries which are captured in the framework in the form of a comprehensive risk barrier index. Genetic algorithms are suitable for optimization of the first level objectives, while the efficiency approach, using restricted weight stochastic data envelopment analysis, is appropriate for higher levels of the objective hierarchy.

The methodology has been designed for application to the energy sector planning for India's 12th Five Year Plan for which the objectives of faster growth, better inclusion, energy security and sustainability have been identified. The conceptual framework combines, within the policy domain, the bottom‐up and top‐down processes to form a hybrid modelling approach yielding optimal outcomes, transparent and convincing to the policy makers. The research findings have substantial implications for transition management to a sustainable energy framework.

The methodology is general in nature and can be employed in all sectors of the economy. It is especially suited to policy design in developing countries with the ground realities factored into the model as project barriers. It offers modularity and flexibility in implementation and can accommodate all the key strategies from diverse sectors along with multiple objectives in the policy optimization process. It enables adoption of an evidence‐based and transparent approach to policy making. The research findings have substantial value for transition management to a sustainable energy framework in developing countries.

The purpose of this paper is to analyze strengths, weaknesses, opportunities and threats (SWOT) of energy efficiency improvement of Iran building sector and develop strategies based on them and finally prioritize these strategies according to experts’ judgments. This SWOT analysis is developed based on a detailed study in Iran energy market along with consulting with several energy specialists and has not been conducted before.

Since SWOT analysis is not capable to rank the developed strategies, analytical network process method is applied to prioritize them according to experts’ judgments. Results are compared with the results of the hierarchical network process (AHP).

Numerical results show that modification of the energy tariff system is the most important strategy. Besides this strategy, four other ones are related to the role of government in Iran energy market, while the remaining ones can be accomplished by domestic or international companies. They are about worn out appliances, inefficient buildings and inefficient lighting systems.

The SWOT analysis and the developed strategies can provide an insight into the improvement of buildings’ energy efficiency in Iran and some similar countries. All the developed strategies have two sides. One is the regulatory and supporting role of the government and the other is about the investment and implementation considerations. As most of the required rules have been established, the ground is prepared for domestic or international investors to start or develop their energy-related businesses in Iran market.

Corporations need a structure for thinking through the development of a new energy/environment strategy and the business implications of different strategy alternatives. This paper aims to investigate how to develop a customized corporate energy strategy.

This four‐step process focuses on the major energy/environment issues requiring corporate decisions; it generates two alternate scenarios of the future that span the possibilities and identifies basic policy choices for corporations and also the tradeoffs to be made.

The paper finds that this process to develop a new energy strategy addresses the prospects that the way an organization manages its energy and environmental threats and opportunities over the next 15 years could invigorate or cripple it. The four major drivers of uncertainty for the future: the dynamics of energy supply and demand, global warming effects, society's environmental‐mitigation and remediation priorities, and world economic development outcomes.

Bill Ralston is the co‐author of the best‐practice guide The Scenario Planning Handbook (with Ian Wilson).

The four‐step process outlined here provides corporate executives the practical means to interpret the global forces buffeting them, to identify new pathways for creating value in the future and to get started.

This process to develop a new energy strategy evaluates the prospects that the way an organization manages its energy and environmental threats and opportunities over the next 15 years could invigorate or cripple it.

This paper reviews the literature on maintenance strategies for energy efficiency as a potential maintenance approach. The purpose of this paper is to identify the main concept and common principle for each maintenance strategy for energy efficiency.

A literature review has been carried out on maintenance and energy efficiency. The paper systematically classified the literature into three maintenance strategies (e.g. inspection-based maintenance [IBM], time-based maintenance [TBM] and condition-based maintenance [CBM]). The concept and principle of each maintenance strategy are identified, compared and discussed.

Each maintenance strategy's main concept and principle are identified based on the following criteria: data required and collection, data analysis/modeling and decision-making. IBM relies on human senses and common senses to detect energy faults. Any detected energy losses are quantified to energy cost. A payback period analysis is commonly used to justify corrective actions. On the other hand, CBM monitors relevant parameters that indicate energy performance indicators (EnPIs). Data analysis or deterioration modeling is needed to identify energy degradation. For the diagnostics approach, the energy degradation is compared with the threshold to justify corrective maintenance. The prognostics approach estimates when energy degradation reaches its threshold; therefore, proper maintenance tasks can be planned. On the other hand, TBM uses historical data from energy monitoring. Data analysis or deterioration modeling is required to identify degradation. Further analysis is performed to find the optimal time to perform a maintenance task. The comparison between housekeeping, IBM and CBM is also discussed and presented.

The literature on the classification of maintenance strategies for energy efficiency has been limited. On the other hand, the ISO 50001 energy management systems standard shows the importance of maintenance for energy efficiency (MFEE). Therefore, to bridge the gap between research and industry, the proposed concept and principle of maintenance strategies will be helpful for practitioners to apply maintenance strategies as energy conservation measures in implementing ISO 50001 standard.

The novelty of this paper is in-depth discussion on the concept and principle of each maintenance strategy (e.g. housekeeping or IBM, TBM and CBM) for energy efficiency. The relevant literature for each maintenance strategy was also summarized. In addition, basic rules for maintenance strategy selection are also proposed.

This paper aims to reveal the impact of five industry forces (IFs) on implementing input‐based competitive strategies (CSs) and to determine relationship of these CSs on cement plants' environmental performances (EPs).

Data were collected from cement manufacturers in Turkey. This study employed structural equation methodology to examine relationships between IFs, CSs, and EP.

Cement plants with the advantage of low buyer bargaining power, low threat of new entrants, and few rivalries exhibit strong energy and raw material strategies. Also, an advantage of low supplier bargaining power and low threat of substitutes causes competitive raw material strategy. Finally, competitive energy and raw material strategies enhance EP, while competitive human resource strategy has no influence on it.

The model should be tested on other organizations in supply chain. Future researches can also investigate the difference of findings to other industries and in other countries and examine reasons behind hypothesized relationships. Moreover, additional factors may be incorporated into the model. However, a larger participation could provide a different perspective of issues in consideration.

This paper can serve as a valuable framework for top managers to draw the direction of their companies in terms of IFs, CSs, and EP. In this context, practitioners should focus on production inputs to withstand external environment and to experience better EP practices.

A better EP can both enhance sustainability of the overall environment and affect society positively. For such benefits, sustainability of EP should be a subsequent step to be taken to possess long‐lasting societal advantages.

This study is first to propose a model that integrates competitive IFs and input‐based approaches to measure cement plants' EPs. These are relevant issues for competitiveness of cement manufacturers willing to increase their EPs.

This study aims at investigating how energy strategies of China impact its energy shipping import through a strategic maritime link, the Straits of Malacca and Singapore (SOMS).

Vector error-correction modelling (VECM) is applied to examine the key energy strategies of China influencing crude oil and liquefied natural gas (LNG) shipping import via the SOMS. Strategies investigated include oil storage expansions, government-setting targets to motivate domestic gas production, pipeline projects to diversify natural gas import routes and commercial strategies to ensure oil and gas accessibility and cost-effectiveness.

For the crude oil sector, building up oil storage and diversifying oil import means, routes and sources were found effective to mitigate impacts of consumption surges and price shocks. For the LNG sector, domestic production expansion effectively reduces LNG import. However, pipeline gas import growth is inefficient to relieve LNG shipping import dependency. Furthermore, energy companies have limited flexibility to adjust LNG shipping import volumes via the SOMS even under increased import prices and transport costs.

As the natural gas demand of China continues expanding, utilisation rates of existing pipeline networks need to be enhanced. Besides, domestic production expansion and diversification of LNG import sources and means are crucial.

This study is among the first in the literature using a quantitative approach to investigate how energy strategies implemented in a nation impact its energy shipping volumes via the SOMS, which is one of the most important maritime links that support 40% of the global trades.

This study seeks to propose the implementation strategies for energy sustainability on a Malaysian university campus.

The paper describes five proposed implementation strategies for Malaysian Universities to contribute to a sustainable energy future and to realise a sustainable university, namely: gaining top management commitment, raising energy awareness, providing energy education, developing energy conservation behaviour and developing a sustainable campus implementation blueprint.

Over the years, numerous global energy issues have been identified, which include fluctuation of world energy prices, uncertainty of future energy supplies and environmental degradation. All these problems are threatening global movement towards a sustainable energy future. Immediate action should be taken by everyone in order to secure a sustainable energy future for the next generation. Malaysian universities, which are composed of hundreds of building blocks equipped with massive facilities, present enormous opportunities to contribute to a sustainable energy future, through reduction of their overall energy consumption.

The proposed implementation strategies are set in the Malaysian context. These strategies detail the crucial aspect towards an energy efficient campus especially in Malaysian universities. It is recommended in future studies to benchmark other countries in this research.

The study provides an overview of the important strategies for energy sustainability on a Malaysian university campus.

Climate change means that buildings must greatly reduce their energy consumption. It is however paradoxical that climate mitigation in Denmark has created negative energy and indoor climate problems in housing that may be made worse by climate change. A literature review has been carried out of housing schemes where climate mitigation was sought through reduced space heating demand, and it is shown that extensive problems with overheating exist. A theoretical study of regulative and design strategies for climate mitigation in new build housing has therefore been carried out, and it is shown that reducing space heating with high levels of thermal insulation and passive solar energy results in overheating and a growing demand for cooling.

Climate change is expected to reduce space heating and increase cooling demand in housing. An analysis of new build housing using passive solar energy as a climate mitigation strategy has therefore been carried out in relation to future climate change scenarios. It is shown that severe indoor comfort problems can occur, questioning the relevance of passive solar energy as a climate mitigation strategy. In conclusion, a theoretical study of the interplay between climate adaptation and mitigation strategies is carried out, with a cross-disciplinary focus on users, passive design and active technologies. It is shown that the cumulative use of these strategies can create an adaptation buffer, thus eliminating problems with overheating and reducing energy consumption. New build housing should therefore be designed in relation to both current and future climate scenarios to show that the climate mitigation strategies ensure climate adaptation.