The Experts below are selected from a list of 87 Experts worldwide ranked by ideXlab platform

Chunlung Chen - One of the best experts on this subject based on the ideXlab platform.

  • wind photovoltaic capacity coordination for a time of use rate Industrial User
    Iet Renewable Power Generation, 2009
    Co-Authors: T Y Lee, Chunlung Chen
    Abstract:

    As the capacity of wind and photovoltaic (PV) generation systems increases, wind-PV capacity coordination for a time-of-use (TOU) rate Industrial User may become an important problem. This coordination can maximise the economic benefits of investing in a wind generation system and a PV generation system. An evolutionary particle swarm optimisation approach to solve the wind-PV capacity coordination for a TOU rate Industrial User is proposed. A benefit-cost ratio (BCR) is used to evaluate the economic benefit of investing in wind and PV generation systems for a TOU rate Industrial User. The optimal contract capacities and the optimal installed capacities of the wind and PV generation systems for a TOU rate Industrial User are obtained. The BCR of investing in wind and PV generation systems are maximised. Test results illustrate the merits of the proposed approach and help determine the impact of changes in electricity cost and capital cost on wind-PV capacity coordination for a TOU rate Industrial User.

T Y Lee - One of the best experts on this subject based on the ideXlab platform.

  • wind photovoltaic capacity coordination for a time of use rate Industrial User
    Iet Renewable Power Generation, 2009
    Co-Authors: T Y Lee, Chunlung Chen
    Abstract:

    As the capacity of wind and photovoltaic (PV) generation systems increases, wind-PV capacity coordination for a time-of-use (TOU) rate Industrial User may become an important problem. This coordination can maximise the economic benefits of investing in a wind generation system and a PV generation system. An evolutionary particle swarm optimisation approach to solve the wind-PV capacity coordination for a TOU rate Industrial User is proposed. A benefit-cost ratio (BCR) is used to evaluate the economic benefit of investing in wind and PV generation systems for a TOU rate Industrial User. The optimal contract capacities and the optimal installed capacities of the wind and PV generation systems for a TOU rate Industrial User are obtained. The BCR of investing in wind and PV generation systems are maximised. Test results illustrate the merits of the proposed approach and help determine the impact of changes in electricity cost and capital cost on wind-PV capacity coordination for a TOU rate Industrial User.

Tsung Ying Lee - One of the best experts on this subject based on the ideXlab platform.

  • Operating schedule of battery energy storage system in a time-of-use rate Industrial User with wind turbine generators: A multipass iteration particle swarm optimization approach
    IEEE Transactions on Energy Conversion, 2007
    Co-Authors: Tsung Ying Lee
    Abstract:

    This paper presents a new algorithm for the solution of nonlinear optimal scheduling problems. This algorithm is called ldquomultipass iteration particle swarm optimizationrdquo (MIPSO). A new index called ldquoiteration bestrdquo is incorporated into ldquoparticle swarm optimizationrdquo (PSO) to improve solution quality. The concept of multipass dynamic programming is applied to further modify the PSO to improve computation efficiency. The MIPSO algorithm is used to solve the optimal operating schedule of a battery energy storage system (BESS) for an Industrial time-of-use (TOU) rate User with wind turbine generators (WTGs). The effects of wind speed uncertainty and load are considered in this paper, and the resulting optimal operating schedule of the BESS reaches the minimum electricity charge of TOU rates Users with WTGs. The feasibility of the new algorithm is demonstrated by a numerical example, and MIPSO solution quality and computation efficiency are compared to those of other algorithms.

Li Li - One of the best experts on this subject based on the ideXlab platform.

  • Demand Side Load Management for Big Industrial Energy Users under Blockchain-Based Peer-to-Peer Electricity Market
    IEEE Transactions on Smart Grid, 2019
    Co-Authors: Can Dang, Chung-ping Kwong, Jiangfeng Zhang, Li Li
    Abstract:

    Blockchain is the key technology of Bitcoin and other cryptocurrencies, and it is one of the most exciting technologies changing the world in the 2010?s. Targeting at big Industrial energy Users, this paper first presents a new market structure (i.e., transaction rules) under existing blockchain-based electricity transaction platforms to cover popular types of markets such as contract, day-ahead, adjustment and balancing markets, and then focuses on the optimal load management problem for a particular Industrial User. The proof-of-work cost from blockchain is also modelled. A key feature of this load management problem is that the User has direct control on its own load, and the obtained load control model is much more accurate than existing approaches in which system operators or demand aggregators cannot control load directly and have to rely on inaccurate estimations. As a case study, the pumping load of a water supply plant is investigated to illustrate how the demand load is managed under this blockchain-based market. From the case study, it is found that 18.9% of total cost can be saved under this new market structure.

Aldo Canova - One of the best experts on this subject based on the ideXlab platform.

  • economical comparison of chp systems for Industrial User with large steam demand
    Applied Energy, 2009
    Co-Authors: Luca Giaccone, Aldo Canova
    Abstract:

    In this paper cogeneration benefits applied to a User with a high steam demand are analyzed. The methodology for the feasibility study and the economical analysis of the investment is presented under the Italian legislative framework. The methodology is applied to an actual case and a detailed description and discussion of all data input is provided. Especially this last key point will be faced using starting data usually available in these kind of studies (i.e., not very detailed for thermal consumption). Finally a comparison of different CHP technologies and a sensitivity analysis is done.