Distributed energy resource system optimisation using mixed integer linear programming

Omu, Akomeno; Choudhary, Ruchi; Boies, Adam M.

doi:10.1016/j.enpol.2013.05.009

Cited by 195 publications

(77 citation statements)

References 23 publications

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“…At this point, the cost of investing in CO 2 to reduce emissions will be equal to the taxable cost of the CO 2 being collected [8]. In other word, the relative CO 2 emission at this time is the optimal production level.…”

Section: Tax Effect Analysismentioning

confidence: 99%

Linear Programming Model for the Measurement of Environmental Performance in Wine Industry—Concepts and Empirical Results

Chen

2018

MATEC Web Conf.

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Abstract. In Taiwan we are currently facing serious air pollution problems, PM2.5 airborne particles not only endanger the human body, leading to coughing, asthma, chronic bronchial and other respiratory diseases, but it is also carcinogenic, our basic rights for survival has been seriously threatened. According to the latest study by the Environmental Protection Agency, the industrial sector accounts for about 25% of the sources of air pollution in Taiwan. The winemaking industry, with raw materials has several stages of production; it must use electricity, water, oil, diesel, gasoline, and steam as energy. The final product is not only wine, but also the discharge wastewater, lees, CO2, waste gas, etc. Different process methods will produce different energy consumption results, thus providing the possibility of CO2 reduction. This study takes the winemaking industry as a case study, trying to find out how to achieve a concept of "win-win situation "for both sides of carbon reduction and economy development. First, aiming at the policy of energy saving and carbon-reduction inventory of winery, trying to find out the source of pollution and the change of pollution source during 2008-2016, and then according to the data, the empirical results are analysed. Finally, a linear programming model proposed for the production planning of winemaking processes to achieve maximum operational profit while reducing CO2 emissions. The options considered in this research are levy the carbon tax in different prices to decrease CO2 emissions; installation of new equipment to enhance capacity; switching production schedule that emits less CO2. The objective of the linear programming model is to determine suitable CO2 mitigation options for a given reduction target while meeting the demand of each final product, quality specifications, and simultaneously maximizing profit. In this research, How to achieve the optimal production goals: minimizing the cost & energy consumption, and the maximum production value become the optimal production objection.

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Section: Tax Effect Analysismentioning

confidence: 99%

Linear Programming Model for the Measurement of Environmental Performance in Wine Industry—Concepts and Empirical Results

Chen

2018

MATEC Web Conf.

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“…There is plenty of research in this regard, and the identification of the relationship at the disaggregated level becomes important because the effect of economic growth varies with different types of energy (Kum 2nd International Conference on Green Materials and Environmental Engineering (GMEE 2015) et al, 2012) [16]. A new set of literature has appeared in order to study the relationship of various types of energy consumption, including electricity, coal, natural gas and gasoline, with economic growth (Omu et al, 2013) [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Examining the Relationship between Clean/Fossil Energy Consumption and Sustainable Development

Qiao¹,

Tong²,

Zhan³

et al. 2015

Proceedings of the 2nd International Conference on Green Materials and Environmental Engineering

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Abstract-Clean Energy including natural gas, hydropower, and nuclear energy, as well as fossil energy including petroleum and coal are the most important energy consumption in China. Although important, the research on the relationship between clean/fossil energy consumption and sustainable development has only been done limitedly. Some papers have used Granger causality and employed panel co-integration test and panel error correction model to study the related topic. Thus, this paper expects to examine the causal relationship of clean/fossil energy consumption with economic growth, environmental issues, and social problems.

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“…In [42]proposes a Mixed Integer Linear Programming model for designing a DER system that satisfies the electricity and heating needs from a group of commercial and residential buildings, reducing the annual investment and operational cost to the minimum. Likewise, researchers on [43] have proposed a new method in order to determine the optimum size of the energy storage system, by using short-term overloaded batteries.…”

Section: A Study Casesmentioning

confidence: 99%

Distributed Energetic Resources: Trend, Control and Operation

Hernández¹,

Gómez²,

Rivas³

2017

IJET

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Abstract-Humanity's growing energetic demand and the need for the electric fluid coming to not interconnected zones in the world has brought with it the deployment of a huge amount of researches related to the distributed generation, the distributed energetic resources, and the smart networks. Those have been approached as mechanisms for global growth and energetic supply. Thus, this article details the researches led by a significant number of experts who have definitely generated the fundamental pillars of evolution regarding network. Moreover, when it comes to its core, where the trend, the control and the operation of the new generation schemes, they provide the change from a traditional energetic system to a sustainable energetic system. Keywords -Algorithms, renewable energy sources, distributed generation, artificial intelligence, microgrid. I. INTRODUCTION Nowadays, traditional energy systems face different types of issues such as the high amount of carbon dioxide (CO2), high generation costs, network tension variations, overloaded lines, dynamic stability issues, and service interruptions.[1], [2]. In order to face these issues, an innovative and very common approach is the generation of electric energy at a local level. This type of energy generation is called Distributed Energy (DG) and the resources that provide it are called Distributed Energetic Resources (DER) [3], [4]. In fact, due to the energy generation in proximity to the load centers, the distributed generation resources would solve the demand over the transmission networks. Today, different countries are trying to increase the penetration of distributed generation in their electronic networks. Each country attempts to use in the most appropriate way the distributed energetic resources based on its resources and conditions. Unfortunately, each DER type has its inconveniences. For example, a photovoltaic system cannot generate electricity for a continued 24h period, because its energetic source is the sun, which does not provide radiation at all times. The same applies to wind power, because the wind currents are not constant, and therefore, the required speed is not fully available for the system's continued operation. Typically, intermittence is a disadvantage of the DG resources. That is why there's a need for integrating the DER which is crucial when providing high-quality electricity and satisfying the system's demand. [5], [6].The DERs are classified into two categories: Dispatchable and not dispatchable. The first one is related to resources which output potency can be adjusted by the network operators. The second one indicates that the generated energy of the DERs cannot be adjusted by the network operators. For this last category, a particular example would the wind and solar generation units.The Microgrids (MG) are an integrated way of DER, where the loads and storage units are installed for supplying energy to small communities such as universities, hospitals, schools, towns, paths, shopping malls, as well as industrial projects. T...

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Distributed energy resource system optimisation using mixed integer linear programming

Cited by 195 publications

References 23 publications

Linear Programming Model for the Measurement of Environmental Performance in Wine Industry—Concepts and Empirical Results

Linear Programming Model for the Measurement of Environmental Performance in Wine Industry—Concepts and Empirical Results

Examining the Relationship between Clean/Fossil Energy Consumption and Sustainable Development

Distributed Energetic Resources: Trend, Control and Operation

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