scholarly journals An exergy-rational district energy model for 100% renewable cities with distance limitations

2020 ◽  
Vol 24 (6 Part A) ◽  
pp. 3685-3705
Author(s):  
Birol Kilkis
Keyword(s):  
Energy Systems ◽  
Heat Pumps ◽  
Climatic Conditions ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Holistic Model ◽  
District Energy ◽  
Energy Conversion And Storage ◽  
Insulation Thickness ◽  
And Storage

While moving towards 100% renewable district energy systems at low temperatures, the exergy of the district energy may decrease below the pumping exergy requirement, which eliminates the benefits of using low-exergy renewables. Because such a possibility may not be revealed by the First Law, an exergy-based holistic model for district energy systems was developed. Four tiers, namely renewable energy resources, energy conversion and storage, main district network, and the low-exergy district are identified. Each tier is indexed to the optimum plant-to-district distance for maximum exergy-based performance with minimum CO2 emissions responsibility. This model further optimizes the temperature peaking with heat pumps versus HVAC equipment oversizing and determines the optimum mix of renewables. Three alternatives of conveying and distributing exergy to the district were considered, namely: electricity only, electricity and heat with or without temperature peaking or equipment oversizing, and electricity, heat, and cold. Comparisons showed that the choice primarily depends upon the district size, district-to-plant distance, climatic conditions, local availability of RES, optimum supply temperature, and thermal condition of the buildings. Another algorithm optimizes the thermal insulation thickness in terms of equipment oversizing and temperature-peaking.

scholarly journals Stochastic Optimization for Integration of Renewable Energy Technologies in District Energy Systems for Cost-Effective Use

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 533 ◽  
Author(s):  
Thomas Tran ◽  
Amanda Smith
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Stochastic Optimization ◽  
Current System ◽  
Operating Cost ◽  
Energy Systems ◽  
Energy Resources ◽  
Operating Costs ◽  
Renewable Energy Resources ◽  
District Energy

Stochastic optimization of a district energy system (DES) is investigated with renewable energy systems integration and uncertainty analysis to meet all three major types of energy consumption: electricity, heating, and cooling. A district of buildings on the campus of the University of Utah is used as a case study for the analysis. The proposed DES incorporates solar photovoltaics (PV) and wind turbines for power generation along with using the existing electrical grid. A combined heat and power (CHP) system provides the DES with power generation and thermal energy for heating. Natural gas boilers supply the remaining heating demand and electricity is used to run all of the cooling equipment. A Monte Carlo study is used to analyze the stochastic power generation from the renewable energy resources in the DES. The optimization of the DES is performed with the Particle Swarm Optimization (PSO) algorithm based on a day-ahead model. The objective of the optimization is to minimize the operating cost of the DES. The results of the study suggest that the proposed DES can achieve operating cost reductions (approximately 10% reduction with respect to the current system). The uncertainty of energy loads and power generation from renewable energy resources heavily affects the operating cost. The statistical approach shows the potential to identify probable operating costs at different time periods, which can be useful for facility managers to evaluate the operating costs of their DES.

Review on Renewable Energy Potential in Australian Subtropical Region (Central and North Queensland)

2011 ◽  
Vol 347-353 ◽  
pp. 3846-3855 ◽  
Author(s):  
Ali Baniyounes ◽  
Gang Liu ◽  
M. G. Rasul ◽  
M. M. K. Khan
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Spatial Databases ◽  
Cost Effective ◽  
Climatic Conditions ◽  
Energy Resources ◽  
Climatic Data ◽  
Renewable Energy Resources ◽  
Subtropical Region ◽  
Energy Potential

In Australia the future demand for energy is predicted to increase rapidly. Conventional energy resources soaring prices and environmental impact have increased the interest in renewable energy technology. As a result of that the Australian government is promoting renewable energy; such as wind, geothermal, solar and hydropower. These types of energy are believed to be cost-effective and environmentally friendly. Renewable energy availability is controlled by climatic conditions such as solar radiation, wind speed and temperature. This paper aims to assess the potential of renewable energy resources, in particular wind and solar energy in an Australian subtropical region (Central and North Queensland) namely, Gladstone, Emerald, Rockhampton, Yeppoon, Townsville, and Cairns. Analysis is done by using the latest statistical state of Queensland energy information, along with measured data history of wind speed, solar irradiations, air temperature, relative humidity, and atmospheric pressure for those sites. This study has also shown that national assessments of solar and wind energy potential can be improved by improving local climatic data assessments using spatial databases of Central and North Queensland areas.

Calculation of Receipt of Renewable Energy Resources and Operation Modes of Power Plants

2021 ◽  
pp. 1777-1795
Author(s):  
Baba Dzhabrailovich Babaev ◽  
Vladimir Panchenko ◽  
Valeriy Vladimirovich Kharchenko
Keyword(s):  
Renewable Energy ◽  
Power Plants ◽  
Optimization Problem ◽  
Renewable Energy Sources ◽  
Operating Mode ◽  
Climatic Conditions ◽  
Energy Resources ◽  
Optimal Configuration ◽  
Renewable Energy Resources ◽  
Energy Complex

The main objective of the work is to develop principles for the formation of the optimal composition of the energy complex from all the given power plants based on renewable energy sources for an autonomous consumer, taking into account the variable energy loads of the consumer, changing climatic conditions and the possibility of using local fuel and energy resources. As a result of solving this optimization problem, in addition to the optimal configuration of the power complex, it is also necessary to solve the problem of optimizing the joint operation of different types of power plants from the selected optimal configuration, that is, it is necessary to determine the optimal modes of operation of power plants and the optimal share of their participation in providing consumers at every moment in time. A numerical method for analyzing and optimizing the parameters and operating mode of the energy complex with the most accurate consideration of the schedule of changes in consumer load and software that automates the solution of this optimization problem are also presented.

scholarly journals Congestion Management of Microgrids With Renewable Energy Resources and Energy Storage Systems

2021 ◽  
Vol 9 ◽  
Author(s):  
Yaling Chen ◽  
Yinpeng Liu
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Programming Model ◽  
Congestion Management ◽  
Heat Pumps ◽  
Energy Resources ◽  
Mixed Integer ◽  
Network Reconfiguration ◽  
Renewable Energy Resources ◽  
Reliable Operation

With the increasing share of renewable energy resources in the microgrid, the microgrid faces more and more challenges in its reliable operation. One major challenge is the potential congestion caused by the uncoordinated operation of flexible demands such as heat pumps and the high penetration of renewable energy resources such as photovoltaics. Therefore, it is important to conduct microgrid energy management to ensure its reliable operation. The energy storage system (ESS) scheduling as an efficient means to alleviate congestion has been widely used. However, in the existing literature, the ESSs are usually scheduled by the microgrid system operator (MSO) in a direct control manner, which is impractical in the case where customers own ESSs and are willing to schedule ESSs by themselves. To resolve this issue, this study proposes a network reconfiguration integrated dynamic tariff–subsidy (DTS) congestion management method to utilize ESSs and network reconfiguration to alleviate congestion in microgrids caused by renewable energy resources and flexible demands. In the proposed method, the MSO controls sectionalization switches while customers or aggregators schedule ESSs in response to DTS to alleviate congestion. The DTS calculation model is formulated as a mixed-integer linear programming model, considering heat pumps (HPs), ESSs, and reconfigurable microgrid topology. The numerical results demonstrate that the proposed method can effectively use ESSs and network topology to alleviate congestion and the MSO does not need to take over the scheduling of the ESS.

scholarly journals A Proposed Strategy to Solve the ‎Intermittency Problem in Renewable Energy Systems ‎Using A Hybrid Energy ‎Storage System

2021 ◽  
Vol 16 ◽  
pp. 41-51
Author(s):  
T. A. Boghdady ◽  
S. N. Alajmi ◽  
W. M. K. Darwish ◽  
M. A. Mostafa Hassan ◽  
A. Monem Seif
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Storage System ◽  
Energy Systems ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Renewable Energy Systems ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Bus Voltage

Renewable energy resources are a favorable solution for the coming energy. So, a great interest has been paid in the last decades for developing and utilizing renewable energy resources as wind energy. As it has a large energy contents and, particularize with the availability, but the major problems of it are represented in unmatched with load demand because the intermittency and fluctuation of nature conditions. Many studies focused on the new strategy of using Battery Storage System (BSS), and solving some problems that affect the DC bus voltage and the BSS by using Electrochemical Double Layer Capacitor (EDLC). Their capability is to store energy to realize the objective of time shifting of surplus energy with a high efficiency. The article main objective is to model, simulate, design, and study the performance of a Stand-Alone Wind Energy System with Hybrid Energy Storage (SAWS-HES). Thus, a complete model of the proposed system is implemented including a detailed modeling procedure of the HESS components. In addition to the main contribution, a study of the performance of EDLC only as a storage device that has fast response device integrated to the suggested system then it hybridized with the BSS. The HESS has the capability to compensate the DC bus voltage in the transient conditions and gives good stability for the system. The SAWS-HES utilizes one main renewable energy resource as wind turbine and overall model is employed under MATLAB/Simulink including a developed simple logic controller. The SAWS-HES simulation results presented a promising performance and have a satisfied performance in meeting the end load demands at different operation conditions. This ensures the SAWS-HES reliability and the effectiveness with HES and the controller in stand-alone operation formulating an excellent solution for the renewable energy systems

scholarly journals Editorial for the Special Issue on Advanced Energy Conversion and Storage Microdevices

Micromachines ◽  
2022 ◽  
Vol 13 (1) ◽  
pp. 138
Author(s):  
Hee-Seok Kim
Keyword(s):  
Energy Conversion ◽  
Environmental Impacts ◽  
Storage Systems ◽  
Sustainable Energy ◽  
Energy Resources ◽  
Special Issue ◽  
Energy Conversion And Storage ◽  
Increasing Demand ◽  
And Storage

Advanced energy conversion and storage systems have attracted much attention in recent decades due to the increasing demand for energy and the environmental impacts of non-sustainable energy resources [...]

scholarly journals Sustainable Energy Autarky and the Evolution of German Bioenergy Villages

2019 ◽  
Vol 11 (18) ◽  
pp. 4996
Author(s):  
Dariusz Pieńkowski ◽  
Wojciech Zbaraszewski
Keyword(s):  
Sustainable Development ◽  
Renewable Resources ◽  
Sustainable Energy ◽  
Energy Systems ◽  
Energy System ◽  
Global Perspective ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Closed Economies ◽  
Sustainable Energy System

The concept of an autarky has a long history and meaning related to its negation and unpopularity. In liberal schools of economics, autarky is usually considered from the perspectives of economic trade protectionism, closed economies, and threats to welfare. Nevertheless, the concept of autarky has gained a new meaning, understood as the local utilization of renewable energy resources from the perspective of their inter- and intragenerational distribution. Local action is shaped by the global perspective. This research consists of three steps. First, a model of energy autarky has been offered based on the system theory. The model shows the variety of the structures and features of energy systems offered in today’s debates on energy autarky. Second, the key postulates of sustainable development have been presented to define an autarkical sustainable energy system. Finally, the concept of bioenergy villages in Germany has been presented to illustrate the approach to energy autarky. The research shows that the concept of autarky and single solutions, such as the use of renewable resources, are not themselves a success from the perspective of sustainable development; this misunderstanding is well illustrated by the evolution of the German concept of bioenergy villages into smart villages.

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