scholarly journals Multi-Objective Optimisation for Power System Planning Integrating Sustainability Indicators

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2199
Author(s):  
Taimur Al Shidhani ◽  
Anastasia Ioannou ◽  
Gioia Falcone
Keyword(s):  
Power Generation ◽  
Land Use ◽  
Renewable Energy ◽  
Power System ◽  
Carbon Emissions ◽  
Fossil Fuels ◽  
Objective Functions ◽  
Multi Objective ◽  
Trade Offs ◽  
The Impact

The increase in global electricity demand, along with its impact on climate change, call for integrating sustainability aspects in the power system expansion planning. Sustainable power generation planning needs to fulfill different, often contradictory, objectives. This paper proposes a multi-objective optimisation model integrating four objective functions, including minimisation of total discounted costs, carbon emissions, land use, and social opposition. Other factors addressed in the model include renewable energy share, jobs created, mortality rates, and energy diversity, among others. Single-objective linear optimisations are initially performed to investigate the impact of each objective function on the resulting power generation mix. Minimising land use and discounted total costs favoured fossil fuels technologies, as opposed to minimising carbon emissions, which resulted in increased renewable energy shares. Minimising social opposition also favoured renewable energy shares, except for hydropower and onshore wind technologies. Accordingly, to investigate the trade-offs among the objective functions, Pareto front candidates for each pair of objective functions were generated, indicating a strong correlation between the minimisation of carbon emissions and the social opposition. Limited trade-offs were also observed between the minimisation of costs and land use. Integrating the objective functions in the multi-objective model resulted in various non-dominated solutions. This tool aims to enable decision-makers identify the trade-offs when optimising the power system under different objectives and determine the most suitable electricity generation mix.

The Ancillary Service Purchase Model in the Background of High Proportion of Renewable Energy Connecting with the Grid

2018 ◽  
Vol 19 (6) ◽  
Author(s):  
Fugui Dong ◽  
Chunxu Jin ◽  
Lei Shi ◽  
Meimei Shang
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Thermal Power ◽  
Optimal Solution ◽  
System Stability ◽  
Ancillary Service ◽  
Multi Objective ◽  
Multi Objective Programming ◽  
Objective Programming ◽  
The Impact

Abstract With the trend of high proportion of renewable energy connecting with grid, peaking services has played a crucial role in the integration of wind power and other renewable energy sources. The current peaking service takes into account only the cost of thermal power units that providing peaking service without considering the impact of its own reliability on the peaking service and the safe operation of the power system. In this paper, the traditional uniform clearing mechanism has been improved, and the reliability factor of ancillary service provided by thermal power units has been included in the previous quotation-based sorting rule, and a multi-objective programming optimal purchasing model considering synergistic capacity cost and power system stability is established. According to the optimal solution of each objective, Pareto optimal solution of multi-objective programming problem is obtained by the ideal point method. Then the ancillary service price and purchase cost are obtained based on the solution.

scholarly journals Hydrokinetic turbines for power generation in Nigerian river basins

2019 ◽  
Vol 14 (1) ◽  
pp. 71-80 ◽  
Author(s):  
L. C. Eme ◽  
J. A. Ulasi ◽  
A. I. Alade Tunde ◽  
A. C. Odunze
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Rural Communities ◽  
Fossil Fuels ◽  
Electric Energy ◽  
Noise Emission ◽  
Southeastern Nigeria ◽  
Carbon Footprints ◽  
The Impact ◽  
River Niger

Abstract This work presents a design for Hydrokinetic Renewable Energy (HRE), for off grid power generation for remote riverine regions in developing nations. The uniqueness of this technique for power generation using streams and other marine currents to generate electric energy is detailed. The problem of the impact of greenhouse gas emissions on the environment, rapid increase in human population, industries, modernization and our lifestyle put immense pressure on most power generation plants and infrastructures. Thus, global warming and carbon footprints of using fossil fuels to generate energy has driven the interest for energy generation from renewable sources. The Upper River Benue and Lower River Niger coastal basins, as well as the River Niger Basin on the Lower Niger sub-basin area of southeastern Nigeria was selected as a case study for the design of the hydrokinetic power generation technology. The results show that for a hydrokinetic turbine the level of power output is directly proportional to the flow velocity. Therefore the cost of its installation is reduced drastically from about $7,900 per installed kW to about $2,500 per kW, is easily assessable, less technical and a familiar motor technology for most of these communities. It is also a predictable form of energy in comparison to other emerging renewable energy fields like wind, solar and wave. Also this form of renewable energy is less harmful to the environment, has a lower noise emission and produces no greenhouse gases or any solid waste. HRE will bring energy security that is essential for the riverine dweller and curb rural urban migration and both improves the rural communities' standard of living and enhances their productivity.

scholarly journals The impact of roof morphology on solar potential: making Toronto suburbs solar ready

2021 ◽  
Vol 2042 (1) ◽  
pp. 012101
Author(s):  
Javeriya Hasan ◽  
Miljana Horvat ◽  
Charles Riddell ◽  
Rita Wang
Keyword(s):  
Climate Change ◽  
Power Generation ◽  
Renewable Energy ◽  
Fossil Fuels ◽  
Rapid Urbanization ◽  
Solar Power Generation ◽  
South West ◽  
Design Changes ◽  
The Aesthetic ◽  
The Impact

Abstract Rapid urbanization, the increasing effects of climate change, the need to reduce fossil fuels’ dependency as well as to improve cities’ resiliency are accelerating the shift towards renewable energy. Additionally, unnecessary complex roof morphologies that are often pushed by suburban divisions’ developers to make houses look more “opulent” and appealing to homebuyers, also impede the smooth integration of active solar technologies. To address this, and to respond to increasing homebuyers’ interest in renewable energy, this study looks to demonstrate how relatively minor design changes could affect the potential for solar generation and create ‘solar ready’ homes without compromising on the aesthetic of the roof morphologies in styles expected by homebuyers. It looked at six different roof morphological forms ranging from small to large houses, a common suburban house archetype in Canada. The roof configurations were remodelled to remove ‘fake dormers’, minimise ridges and valleys, etc. This process helped maximize the south, south-east, south-west, east and west facing surfaces. The results show that these changes could have a significant impact on the magnitude of solar power generation. The power output from a remodelled neighborhood at an optimized orientation exceeded the community’s electricity demand by 24%.

scholarly journals Carbon Dynamics in the Northeastern Qinghai–Tibetan Plateau from 1990 to 2030 Using Landsat Land Use/Cover Change Data

2020 ◽  
Vol 12 (3) ◽  
pp. 528 ◽  
Author(s):  
Jingye Li ◽  
Jian Gong ◽  
Jean-Michel Guldmann ◽  
Shicheng Li ◽  
Jie Zhu
Keyword(s):  
Land Use ◽  
Tibetan Plateau ◽  
Carbon Storage ◽  
Sharp Decrease ◽  
Total Carbon ◽  
Qinghai Lake ◽  
Lake Basin ◽  
Ecosystem Carbon ◽  
Trade Offs ◽  
The Impact

Land use/cover change (LUCC) has an important impact on the terrestrial carbon cycle. The spatial distribution of regional carbon reserves can provide the scientific basis for the management of ecosystem carbon storage and the formulation of ecological and environmental policies. This paper proposes a method combining the CA-based FLUS model and the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model to assess the temporal and spatial changes in ecosystem carbon storage due to land-use changes over 1990–2015 in the Qinghai Lake Basin (QLB). Furthermore, future ecosystem carbon storage is simulated and evaluated over 2020–2030 under three scenarios of natural growth (NG), cropland protection (CP), and ecological protection (EP). The long-term spatial variations in carbon storage in the QLB are discussed. The results show that: (1) Carbon storage in the QLB decreased at first (1990–2000) and increased later (2000–2010), with total carbon storage increasing by 1.60 Tg C (Teragram: a unit of mass equal to 1012 g). From 2010 to 2015, carbon storage displayed a downward trend, with a sharp decrease in wetlands and croplands as the main cause; (2) Under the NG scenario, carbon reserves decrease by 0.69 Tg C over 2020–2030. These reserves increase significantly by 6.77 Tg C and 7.54 Tg C under the CP and EP scenarios, respectively, thus promoting the benign development of the regional ecological environment. This study improves our understanding on the impact of land-use change on carbon storage for the QLB in the northeastern Qinghai–Tibetan Plateau (QTP).

Renewable energy selection based on a new entropy and dissimilarity measure on an interval-valued neutrosophic set

2021 ◽  
pp. 1-18
Author(s):  
ShuoYan Chou ◽  
Truong ThiThuy Duong ◽  
Nguyen Xuan Thao
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Membership Function ◽  
Fossil Fuels ◽  
Multiple Criteria Decision Making ◽  
Clean Energy ◽  
Dissimilarity Measure ◽  
Neutrosophic Set ◽  
Trade Offs ◽  
And Performance

Energy plays a central part in economic development, yet alongside fossil fuels bring vast environmental impact. In recent years, renewable energy has gradually become a viable source for clean energy to alleviate and decouple with a negative connotation. Different types of renewable energy are not without trade-offs beyond costs and performance. Multiple-criteria decision-making (MCDM) has become one of the most prominent tools in making decisions with multiple conflicting criteria existing in many complex real-world problems. Information obtained for decision making may be ambiguous or uncertain. Neutrosophic is an extension of fuzzy set types with three membership functions: truth membership function, falsity membership function and indeterminacy membership function. It is a useful tool when dealing with uncertainty issues. Entropy measures the uncertainty of information under neutrosophic circumstances which can be used to identify the weights of criteria in MCDM model. Meanwhile, the dissimilarity measure is useful in dealing with the ranking of alternatives in term of distance. This article proposes to build a new entropy and dissimilarity measure as well as to construct a novel MCDM model based on them to improve the inclusiveness of the perspectives for decision making. In this paper, we also give out a case study of using this model through the process of a renewable energy selection scenario in Taiwan performed and assessed.

scholarly journals Examining the Role of Disruptive Innovation in Renewable Energy Businesses from a Cross National Perspective

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4447
Author(s):  
Hokey Min ◽  
Yohannes Haile
Keyword(s):  
Renewable Energy ◽  
Natural Resources ◽  
Fossil Fuels ◽  
Weather Conditions ◽  
Disruptive Innovation ◽  
Production Costs ◽  
Developed Economies ◽  
Sustainable Value ◽  
National Perspective ◽  
The Impact

With a growing demand for safe, clean, and affordable energy, countries across the world are now seeking to create and rapidly develop renewable energy (RE) businesses. The success of these businesses often hinges on their ability to translate RE into sustainable value for energy consumers and the multiple stakeholders in the energy industry. Such value includes low production costs due to an abundance of natural resources (e.g., wind, water, sunlight), and public health benefits from reduced environmental pollution. Despite the potential for value creation, many RE businesses have struggled to create affordable energy as abundant as that which is produced by traditional fossil fuels. The rationale being that traditional RE sources emanating from natural resources tend to rely on unpredictable weather conditions. Therefore, to help RE businesses deliver sustainable value, we should leverage disruptive innovation that is less dependent on natural resources. This paper is one of the first attempts to assess the impact of disruptive innovation on RE business performances based on the survey data obtained from multiple countries representing both emerging and developed economies.

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