scholarly journals Generation-Load Coordinative Scheduling considering the Demand-Response Uncertainty of Inverter Air Conditioners

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Wei Hu ◽  
Jin Yang ◽  
Yi Wu ◽  
Weiguo Zhang ◽  
Xueming Li ◽  
...  
Keyword(s):  
Power System ◽  
Demand Response ◽  
Load Scheduling ◽  
Air Conditioners ◽  
Power Scheduling ◽  
Scheduling Model ◽  
Conditioning Equipment ◽  
The Cost ◽  
First Time

Inverter air conditioners (IACs) have gradually become the mainstream of resident air-conditioning equipment. Similar to traditional fixed-frequency air conditioners, IACs have the potential for demand response and load scheduling. However, the uncertainty of IACs is nonnegligible in generation-load scheduling. In this paper, the uncertain demand-response cost of IACs is studied for the first time. Meanwhile, based on the cost, a generation-load coordinative day-ahead scheduling model is proposed. In the scheduling, an IACs aggregator and traditional generators are coordinately dispatched to minimize the expected scheduling cost of the power system. The case study shows that the coordinative scheduling model can reduce the scheduling cost of the power system and encourage the IACs aggregator to improve their responsiveness or reduce their uncertainty, so as to improve the economy and reliability of power scheduling.

Short-term Hydro-Thermal-Wind-Solar Power Scheduling: A Case Study of Kanyakumari Region of India

2021 ◽  
Author(s):  
Sunimerjit Kaur ◽  
Yadwinder Singh Brar ◽  
Jaspreet Singh Dhillon
Keyword(s):  
Solar System ◽  
Power System ◽  
Simplex Method ◽  
Solar Power ◽  
Test System ◽  
Scheduling Problem ◽  
Fuel Cost ◽  
Thermal Wind ◽  
Power Scheduling

In this paper, a multi-objective hydro-thermal-wind-solar power scheduling problem is established and optimized for the Kanyakumari (Tamil Nadu, India) for the 18th of September of 2020. Four contrary constraints are contemplated for this case study (i) fuel cost and employing cost of wind and solar power system, (ii) NOx emission, (iii) SO2 emission, and (iv) CO2 emission. An advanced hybrid simplex method named as-the -constrained simplex method (ACSM) is deployed to solve the offered problem. To formulate this technique three amendments in the usual simplex method (SM) are adopted (i) -level differentiation, (ii) mutations of the worst point, and (iii) the incorporation of multi-simplexes. The fidelity of the projected practice is trailed upon two test systems. The first test system is hinged upon twenty-four-hour power scheduling of a pure thermal power system. The values of total fuel cost and emissions (NOx, SO2, CO2) are attained as 346117.20 Rs, 59325.23 kg, 207672.70 kg, and 561369.20 kg, respectively. In the second test system, two thermal generators are reintegrated with renewable energy resources (RER) based power systems (hydro, wind, and solar system) for the same power demands. The hydro, wind, and solar data are probed with the Glimn-Kirchmayer model, Weibull Distribution Density Factor, and Normal Distribution model, respectively. For this real-time hydro-thermal-wind-solar power scheduling problem the values of fuel cost and emissions (Nox, SO2, CO2) are shortened to 119589.00 Rs, 24262.24 kg, 71753.80 kg, and 196748.20 kg, respectively for the specified interval. The outturns using ACSM are contrasted with the SM and evolutionary method (EM). The values of the operating cost of solar system, wind system, total system transmission losses, and computational time of test system-2 with ACSM, SM, and EM are evaluated as 620497.40 Rs, 1398340.00 Rs, 476.6948 MW & 15.6 seconds; 620559.45 Rs, 1398479.80 Rs, 476.7425 MW & 16.8 seconds; and 621117.68 Rs, 1399737.80 Rs, 477.1715 MW and 17.3 seconds, respectively. The solutions portray the sovereignty of ACSM over the other two methods in the entire process.

A Model of Continuous Optimized Power Flow with DR

2013 ◽  
Vol 805-806 ◽  
pp. 452-457
Author(s):  
Wen Bo Mao ◽  
Ke Wang ◽  
Jian Tao Liu
Keyword(s):  
Power System ◽  
Demand Response ◽  
Cost Reduction ◽  
Power Flow ◽  
Peak Load ◽  
Load Reduction ◽  
Interruptible Load ◽  
Time Price ◽  
The Cost ◽  
Reduction Cost

A model of continuous optimized power flow (COPF) is proposed, concluding demand response (DR). According to different implementation mechanisms, a series of DR models are built, such as: time of use (TOU), real time price (RTP), critical peak price (CPP), and interruptible load (IL). The influences of these kinds of DR on power system are analyzed, including peak load reduction, cost reduction, and reservation optimization. The results show that: DR can cut the cost, reduce the peak load, and promote the reservation optimization.

A novel model for risk management of outsourced construction projects using decision-making methods: a case study

2020 ◽  
Vol 10 (2) ◽  
pp. 97-123 ◽  
Author(s):  
Amin Mahmoudi ◽  
Mehdi Abbasi ◽  
Xiaopeng Deng ◽  
Muhammad Ikram ◽  
Salman Yeganeh
Keyword(s):  
Decision Making ◽  
Construction Projects ◽  
Project Managers ◽  
Analytic Hierarchy ◽  
Suitable Alternative ◽  
Content Type ◽  
Proposed Model ◽  
The Cost ◽  
First Time

PurposeSelecting a suitable contract to outsource construction projects is an ongoing concern for project managers and organizational directors. This study aims to propose a comprehensive model to manage the risks of outsourced construction project contracts.Design/methodology/approachTo employ the proposed model, firstly, the types of contracts and risks in the organization should be identified, then, to prioritize the contracts, the identified risks are considered as criteria. After receiving the experts' opinions, the best–worst method (BWM) integrated with grey relation analysis (GRA) method was used to prioritize the contracts. BWM and GRA are multi-criteria decision-making methods with different approaches and applications. In the current study, BWM has been employed to calculate the weights of criteria because it has better performance than other methods such as the analytic hierarchy process (AHP). After calculating the weights of criteria, the GRA method has been utilized for ranking the alternatives.FindingsAccording to the results obtained from the case study, the cost plus award fee contract is the most suitable alternative for outsourcing construction projects. The proposed methodology can be practically applied through different types of the projects such as construction or “engineering, procurement and construction”.Originality/valueTo the best of our knowledge, this is the first time a conceptual model has been proposed to select an appropriate contract for construction projects. Also, for the first time, the BWM integrated with GRA method has been used to prioritize project contracts based on the potential risks. The proposed model can contribute to project managers for selecting a suitable contract with the least risk in construction projects.

scholarly journals Desired points at minimum cost in the “Optimize Energy Performance” credit of leed certification

2017 ◽  
Vol 23 (6) ◽  
pp. 796-805 ◽  
Author(s):  
Emre Caner AKCAY ◽  
David ARDITI
Keyword(s):  
Energy Analysis ◽  
Minimum Cost ◽  
Energy Performance ◽  
Simulation Software ◽  
Cost Information ◽  
Leed Certification ◽  
The Cost ◽  
First Time ◽  
Economical Alternative

This paper presents a method that guides designers in obtaining the desired number of earned points in the “Optimize Energy Performance” credit of the “Energy and Atmosphere” category of LEED version 4 (v4) certification at minimum cost. The model creates different scenarios, identifies the LEED points and costs for each scenario. The energy analysis calculations are performed by Sefaira, the quantities of materials are received from Autodesk Revit, and the cost information comes from the RSMeans Database. A macro in Excel automates the process. An office building was used as a case study to illustrate the applicability of the proposed method. The minimum cost necessary to achieve any number of points in the “Optimize Energy Performance” credit were calculated, such as a minimum cost of $842,500 to obtain 16 points, and $476,684 for 5 points. The primary contributions of this research include (1) the development of a tool that allows designers to pick the most economical alternative for the desired points in the “Optimize Energy Performance” credit, and (2) the first time integrated use of an energy simulation software (Sefaira), a cost database (RSMeans), and a BIM software (Autodesk Revit)

SIMULATION-BASED DESIGN METHOD FOR ROOM AIR CONDITIONER WITH SMALLER DIAMETER COPPER TUBES

2012 ◽  
Vol 20 (03) ◽  
pp. 1250012 ◽  
Author(s):  
GUOLIANG DING ◽  
TAO REN ◽  
YONGXIN ZHENG ◽  
YIFENG GAO ◽  
JI SONG
Keyword(s):  
Heat Exchanger ◽  
Design Method ◽  
Copper Tube ◽  
Air Conditioner ◽  
Air Conditioners ◽  
Knowledge Based ◽  
Simulation Based Design ◽  
Simulation Based ◽  
The Cost

Promoting the use of smaller diameter tube in room air conditioner is beneficial to reduce copper consumption and refrigerant charge, but may cause reduction of air conditioner performance, so a design method is needed. This paper presents a simulation-based design method for air conditioner with smaller diameter tube. The new method combines heat exchanger simulator and knowledge-based evolution method optimizer for designing air conditioner heat exchanger with smaller diameter tube. The simulation-based design method is illustrated in detail by an air conditioner of replacing 7 mm tube indoor unit heat exchanger and 9.52 mm tube outdoor unit heat exchanger with 5 mm tube. Case study shows that the cost of the designed air conditioner with 5 mm copper tube is 17.3% lower than that of the original one while the performance deviation between these two air conditioners is less than 0.7%.

scholarly journals An enhanced operation model for energy storage system of a typical combined cool, heat and power based on demand response program: The application of mixed integer linear programming

2018 ◽  
Vol 40 (1) ◽  
pp. 47-74 ◽  
Author(s):  
Amirhossein Eshraghi ◽  
Gholamreza Salehi ◽  
Seyedmohammadreza Heibati ◽  
Kamran Lari
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Demand Response ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Residential Building ◽  
Mixed Integer ◽  
Demand Response Program ◽  
Micro Grid ◽  
The Cost

A model for operating an energy hub-based multiple energy generation micro-grid is optimized using the demand response program. The optimized objective model is validated against energy demand of a residential building in Tehran, Iran. The mathematical model and optimal analysis of the proposed tri-generation micro-grid are implemented by using a real-world modelling and considering the constraints of the storage system, demand response program and the performance of the devices and the power and gas grids. The dynamic optimal operation model is prepared on the basis of the mixed integer linear programming on the subsequent day and is solved to minimize the costs of energy supply. To demonstrate the improvements, different scenarios are developed so that the renewable energy resources and storages are fed into the combined cool, heat and power system gradually. The results reveal that the inclusion of each element results in a significant improvement in the operational parameters of the micro energy grid. Scenario 1 includes a combined cool, heat and power system alone, Scenario 2 is supplemented with renewable wind and solar energy resources in addition to combined cool, heat and power system and Scenario 3 includes electrical, heat and cold storages in addition to combined cool, heat and power system and renewable energy sources. Scenario 4 is similar to Scenario 3 in terms of equipment, but the only difference lies in the use of the demand response program in the former. Total operational cost is 12.7% lower in Scenario 2 than in Scenario 1, 9.2% lower in Scenario 3 than in Scenario 2 and 8.6% lower in Scenario 4 than in Scenario 3. Practical application: An optimized operation method is prepared for combined cool, heat and power systems running in different operation modes in which renewable energy sources and storages are added to the combined cool, heat and power and the demand response program is applied. The results reveal that the cost of energy supply, including the cost of electricity, gas and pollutant emissions, is reduced and the qualitative parameters of the operation, including efficiency and reliability of building micro-grid, are increased. The proposed algorithm and the evaluation method will enable building operators to plan demand response activity on the residential building in Tehran, while this can be extended to other buildings too.

Impact of residential demand response on power system operation: A Belgian case study

2014 ◽  
Vol 122 ◽  
pp. 1-10 ◽  
Author(s):  
B. Dupont ◽  
K. Dietrich ◽  
C. De Jonghe ◽  
A. Ramos ◽  
R. Belmans
Keyword(s):  
Power System ◽  
Demand Response ◽  
System Operation ◽  
Power System Operation ◽  
Residential Demand

Two-stage load-scheduling model for the incentive-based demand response of industrial users considering load aggregators

2018 ◽  
Vol 12 (14) ◽  
pp. 3518-3526 ◽  
Author(s):  
Jingjing Zhang ◽  
Peng Zhang ◽  
Hongbin Wu ◽  
Xianjun Qi ◽  
Shihai Yang ◽  
...  
Keyword(s):  
Demand Response ◽  
Two Stage ◽  
Load Scheduling ◽  
Scheduling Model

Techno-economic analysis of a hybrid power system based on the cost-effective hydrogen production method for rural electrification, a case study in Iran

Energy ◽  
2020 ◽  
Vol 190 ◽  
pp. 116421 ◽  
Author(s):  
Mohammad Amin Vaziri Rad ◽  
Roghaye Ghasempour ◽  
Parisa Rahdan ◽  
Soroush Mousavi ◽  
Mehrdad Arastounia
Keyword(s):  
Hydrogen Production ◽  
Economic Analysis ◽  
Power System ◽  
Cost Effective ◽  
Production Method ◽  
Rural Electrification ◽  
Hybrid Power ◽  
The Cost ◽  
Effective Hydrogen
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