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1. Optimization models to save energy and enlarge the operational life of water pumping systems

Author:
Torregrossa, Dario; Capitanescu, Florin
Source:
Journal of cleaner production 2019 v.213 pp. 89-98
ISSN:
0959-6526
Subject:
algorithms,   etc   ; energy; energy conservation; models; pumps;     Show all 5 Subjects
Abstract:
... Water pumping systems are widely used in industrial and civil applications. During their operational life, they consume energy and materials (mainly for installation and replacement of components). The aim of this paper is to optimize the pump operations in order to save energy and enlarge the operational life of the pumps and their components. This paper addresses the multi-period (e.g. 24-hours ...
DOI:
10.1016/j.jclepro.2018.12.124

2. An optimization approach of selective laser sintering considering energy consumption and material cost

Author:
Ma, Feng; Zhang, Hua; Hon, K.K.B.; Gong, Qingshan
Source:
Journal of cleaner production 2018 v.199 pp. 529-537
ISSN:
0959-6526
Subject:
algorithms,   etc   ; energy; manufacturing; models;     Show all 4 Subjects
Abstract:
... Selective laser sintering technology is a method of additive manufacturing that is growing with widely application. Due to the increasing tense of energy situation, it is also timely to consider the economic and environmental issues of growth in additive manufacturing. The innovative selective laser sintering technology optimization approach proposed in this article encourages and enables the desi ...
DOI:
10.1016/j.jclepro.2018.07.185

3. Energy consumption optimization of train operation for railway systems: Algorithm development and real-world case study

Author:
Zhang, Huiru; Jia, Limin; Wang, Li; Xu, Xinyue
Source:
Journal of cleaner production 2019 v.214 pp. 1024-1037
ISSN:
0959-6526
Subject:
algorithms,   etc   ; case studies; energy; energy conservation; models; railroads;     Show all 6 Subjects
Abstract:
... Traction energy is the main component of railway operation energy, and a timetable that predefines the running time of train operation can be used to determine the traction energy consumption. This study proposes a bi-level model that optimizes timetables to achieve the energy-saving control of railway systems. The upper level of the model ensures the relative stability of the timetable while main ...
DOI:
10.1016/j.jclepro.2019.01.023

4. Assignment and scheduling trucks in cross-docking system with energy consumption consideration and trucks queuing

Author:
Shahram fard, Shayan; Vahdani, Behnam
Source:
Journal of cleaner production 2019 v.213 pp. 21-41
ISSN:
0959-6526
Subject:
algorithms,   etc   ; consumers (people); energy; forklifts; inventories; models; trucks; wolves;     Show all 8 Subjects
Abstract:
... Cross-docking, as one of the efficient strategies of distribution systems can reduce the inventory costs and accelerate the delivery of products to customers. One of the important truck scheduling problems in multi-door cross-docks is a multi-period planning horizon, which is rarely taken into consideration. In addition, a way to assign the cross-dock transportation equipment, such as forklifts to ...
DOI:
10.1016/j.jclepro.2018.12.106

5. Low-carbon cold chain logistics using ribonucleic acid-ant colony optimization algorithm

Author:
Zhang, Li-Yi; Tseng, Ming-Lang; Wang, Ching-Hsin; Xiao, Chao; Fei, Teng
Source:
Journal of cleaner production 2019 v.233 pp. 169-180
ISSN:
0959-6526
Subject:
algorithms,   etc   ; RNA; carbon; cold; emissions; energy; industry; models; sustainable development; system optimization; transportation; China;     Show all 12 Subjects
Abstract:
... Low-carbon economy is an emerging and inevitable pathway toward sustainable development of cold chain logistics. Low-temperature transportation is the crucial link of cold chain logistics to low-carbon economy and the industry is known to have the higher energy consumption. Prior studies are lacking in involving the carbon emission cost in the optimization process. Route optimization of low-temper ...
DOI:
10.1016/j.jclepro.2019.05.306

6. The optimization of investment strategy for resource utilization and energy conservation in iron mines based on Monte Carlo and intelligent computation

Author:
He, Yong; Liao, Nuo; Rao, Jiwen; Fu, Feifei; Chen, Zhihao
Source:
Journal of cleaner production 2019 v.232 pp. 672-691
ISSN:
0959-6526
Subject:
algorithms,   etc   ; Monte Carlo method; decision making; empirical research; energy; energy conservation; iron; mining; models; China;     Show all 10 Subjects
Abstract:
... How to improve resource utilization and reduce energy consumption are two challenging tasks in iron mines. The realization of resource utilization and energy conservation goals depends on proper investment strategy on key production processes with relatively high resource loss or energy consumption. However, none of literature have explored the decision-making issue of investment strategy combined ...
DOI:
10.1016/j.jclepro.2019.05.347

7. Optimal locations of U.S. fast charging stations for long-distance trip completion by battery electric vehicles

Author:
He, Yawei; Kockelman, Kara M.; Perrine, Kenneth A.
Source:
Journal of cleaner production 2019 v.214 pp. 452-461
ISSN:
0959-6526
Subject:
algorithms,   etc   ; issues and policy; planning; households; energy; infrastructure; models; vehicles (equipment); travel; United States;     Show all 10 Subjects
Abstract:
... Due to environmental and energy challenges, promoting battery electric vehicles (BEVs) is a popular policy for many countries. However, a lack of fast recharging infrastructure and limitations on BEV range limit their purchase and use. It is important to have a well-designed charging station network, so this paper uses U.S. long-distance travel data to place charging stations with the objective of ...
DOI:
10.1016/j.jclepro.2018.12.188

8. An anomaly identification model for wind turbine state parameters

Author:
Zhang, Yiyi; Zheng, Hanbo; Liu, Jiefeng; Zhao, Junhui; Sun, Peng
Source:
Journal of cleaner production 2018 v.195 pp. 1214-1227
ISSN:
0959-6526
Subject:
algorithms,   etc   ; energy; models; prediction; wind turbines;     Show all 5 Subjects
Abstract:
... Identifying the anomalies of wind turbine (WT) and maintaining in time will improve the reliability of wind turbine and the efficiency of energy use, however it is difficult toidentify the wind turbine's abnormal operation by the traditional threshold settings because the anomalies can be induced by multiple factors. Therefore, this paper presents an anomaly identification model for wind turbine s ...
DOI:
10.1016/j.jclepro.2018.05.126

9. A green scheduling algorithm for flexible job shop with energy-saving measures

Author:
Wu, Xiuli; Sun, Yangjun
Source:
Journal of cleaner production 2018 v.172 pp. 3249-3264
ISSN:
0959-6526
Subject:
algorithms,   etc   ; energy; energy conservation; equipment; models;     Show all 5 Subjects
Abstract:
... We study how to save energy from the viewpoint of operation management. When to turn-on/off machines and which speed level to choose are two measures we employ to save energy. We focus on the flexible job shop scheduling problem. To begin with, a model is formulated for the flexible job shop scheduling problem when the two energy-saving measures are under consideration. An energy consumption model ...
DOI:
10.1016/j.jclepro.2017.10.342

10. Precise measurements and control of the position of the rolling shutter and rolling film in a solar greenhouse

Author:
Zhang, Guoxiang; Liu, Xingxing; Fu, Zetian; Stankovski, Stevan; Dong, Yuhong; Li, Xinxing
Source:
Journal of cleaner production 2019 v.228 pp. 645-657
ISSN:
0959-6526
Subject:
algorithms,   etc   ; automation; energy; environmental degradation; films (materials); greenhouse gas emissions; greenhouse gases; greenhouses; models; rolling; solar energy; sustainable agriculture; China;     Show all 13 Subjects
Abstract:
... Against the background of the depletion of fossil fuel energy sources and environmental degradation, solar greenhouses represent an efficient and sustainable agricultural production method in China. The precise measurement and control of the position of the rolling shutter and rolling film is not only one of the core issues in the modification of the greenhouse environment in actual production but ...
DOI:
10.1016/j.jclepro.2019.04.129

11. The optimization of resilience and sustainability using mathematical programming models and metaheuristic algorithms

Author:
Hassani, Leila; Daneshvar kakhki, Mahmoud; Sabouhi sabouni, Mahmoud; Ghanbari, Reza
Source:
Journal of cleaner production 2019 v.228 pp. 1062-1072
ISSN:
0959-6526
Subject:
algorithms,   etc   ; dairy farming; energy; environmental degradation; greenhouse gas emissions; issues and policy; models; production technology; profitability; Iran;     Show all 10 Subjects
Abstract:
... The present study attempts to posit a suitable strategy for the optimal production with the maximum resilience and sustainability in the industrial dairy farms. The resilience and sustainability indicator was designed by integrating 5 indexes; they include the environmental, economic, social, technology and policy indexes and were modeled using the non-linear mathematical programming. The status o ...
DOI:
10.1016/j.jclepro.2019.04.324

12. Energy- and labor-aware flexible job shop scheduling under dynamic electricity pricing: A many-objective optimization investigation

Author:
Gong, Xu; De Pessemier, Toon; Martens, Luc; Joseph, Wout
Source:
Journal of cleaner production 2019 v.209 pp. 1078-1094
ISSN:
0959-6526
Subject:
algorithms,   etc   ; automation; decision making; electricity; electricity costs; energy; energy resources; factories; humans; labor; models; mutation; prices; system optimization;     Show all 14 Subjects
Abstract:
... Energy-aware production scheduling is a promising way to adapt the factories’ energy consumption behavior to the volatile electricity prices in the demand response initiative of smart grids. However, it may not be economical by simply scheduling production loads to the periods with lower electricity prices, as these periods often have higher labor wage, e.g., nights and weekends. Based on this gap ...
DOI:
10.1016/j.jclepro.2018.10.289

13. Optimal performance of electric vehicles parking lot considering environmental issue

Author:
Jannati, Jamil; Nazarpour, Daryoosh
Source:
Journal of cleaner production 2019 v.206 pp. 1073-1088
ISSN:
0959-6526
Subject:
algorithms,   etc   ; economic performance; electric vehicles; energy; hydrogen; models; production functions; solar collectors; solar energy; wind power; wind turbines;     Show all 11 Subjects
Abstract:
... In this paper, a bi-objective optimization framework has been proposed for solar photovoltaic-based intelligent electric vehicles parking lot in the presence of demand response program to satisfy both environmental and economic issues of parking lot. Time-of-use model of demand response program is utilized to promote both environmental and economic performance of parking lot. In fact, by using thi ...
DOI:
10.1016/j.jclepro.2018.09.222

14. Modified imperialist competitive algorithm for environmental constrained energy management of microgrids

Author:
Rabiee, Abdorreza; Sadeghi, Mohammad; Aghaei, Jamshid
Source:
Journal of cleaner production 2018 v.202 pp. 273-292
ISSN:
0959-6526
Subject:
algorithms,   etc   ; air pollution; economic dispatch; energy; models; renewable energy sources;     Show all 6 Subjects
Abstract:
... Optimal energy management of microgrids with different objectives such as operation cost, air pollution and wider use of renewable energy sources is investigated in many research works. In this paper, the effect of different operation modes of microgrids to solve environmental/economic dispatch problem is evaluated. Different modes of operation of microgrid include islanding operation, grid-connec ...
DOI:
10.1016/j.jclepro.2018.08.129

15. A mechanism identification model based state-of-health diagnosis of lithium-ion batteries for energy storage applications

Author:
Ma, Zeyu; Wang, Zhenpo; Xiong, Rui; Jiang, Jiuchun
Source:
Journal of cleaner production 2018 v.193 pp. 379-390
ISSN:
0959-6526
Subject:
algorithms,   etc   ; databases; diagnostic techniques; electrodes; energy; lithium batteries; models;     Show all 7 Subjects
Abstract:
... Advanced lithium-ion battery systems, in multi-cell configurations and larger-scale operations, are being currently developed for energy storage applications. Furthermore, the retired batteries are being increasingly second utilized in energy storage scenes. Thus, realistic and accurate battery state of health diagnosis and related aging mechanisms identification is desired to improve the battery ...
DOI:
10.1016/j.jclepro.2018.05.074

16. Optimization of energy consumption in coating removal for recycling scrap coated cemented carbide tools using hybrid laser-waterjet

Author:
Yun, Hao; Zou, Bin; Wang, Jun; Huang, Chuanzhen; Li, Shizhen
Source:
Journal of cleaner production 2019 v.229 pp. 104-114
ISSN:
0959-6526
Subject:
algorithms,   etc   ; carbon; coatings; cutting; durability; energy; energy conservation; engineering; environmental performance; manufacturing; mechanical properties; models; oxidation; prediction; processing time; recycling; specific energy; sustainable development; temperature;     Show all 19 Subjects
Abstract:
... In order to purified recovery of scrap cemented carbide, stripping of coatings was mandatory as engineering tools for improving service life were almost modified with anti-wear coatings. However, the low efficiency of current coating removal technologies leaded to the overmuch energy consumption, it was of great importance to achieve energy conservation to relieve the environment impact because of ...
DOI:
10.1016/j.jclepro.2019.04.315

17. Insights into water-energy cobenefits and trade-offs in water resource management

Author:
Gao, Jinjing; Li, Chenlong; Zhao, Peng; Zhang, Hongwei; Mao, Guozhu; Wang, Yuan
Source:
Journal of cleaner production 2019 v.213 pp. 1188-1203
ISSN:
0959-6526
Subject:
algorithms,   etc   ; energy; energy conservation; freshwater; groundwater; issues and policy; model validation; models; regression analysis; resource allocation; surface water; urban planning; wastewater treatment; water allocation; water resources; China;     Show all 16 Subjects
Abstract:
... Cobenefits between water and energy are always pursued for urban planning since their consumption has a significant influence on each resource. To achieve the optimal conservation of both resources, i.e., reducing energy consumption while resolving water resource problems, this study established a new water resource allocation optimization tool with traditional water resources (such as surface wat ...
DOI:
10.1016/j.jclepro.2018.12.126

18. Cutting parameter optimization for machining operations considering carbon emissions

Author:
Zhou, Guanghui; Lu, Qi; Xiao, Zhongdong; Zhou, Ce; Tian, Changle
Source:
Journal of cleaner production 2019 v.208 pp. 937-950
ISSN:
0959-6526
Subject:
algorithms,   etc   ; business enterprises; carbon; carbon markets; cutting; emissions; energy; game theory; global warming; humans; issues and policy; manufacturing; models; system optimization;     Show all 14 Subjects
Abstract:
... With the aggravation of global warming and implementation of carbon policies such as carbon tax and carbon labeling, manufacturing enterprises have to cope with the stress from eco-environment and production cost. Cutting parameters in the part machining process have a huge impact on energy and material consumption, cutting time and economy of manufacturing system. The traditional cutting paramete ...
DOI:
10.1016/j.jclepro.2018.10.191

19. Energy cost minimization for unrelated parallel machine scheduling under real time and demand charge pricing

Author:
Batista Abikarram, Jose; McConky, Katie; Proano, Ruben
Source:
Journal of cleaner production 2019 v.208 pp. 232-242
ISSN:
0959-6526
Subject:
algorithms,   etc   ; carbon footprint; electric energy consumption; electricity; electricity costs; employment; energy; energy industry; equipment; issues and policy; manufacturing; models; planning; prices; United States;     Show all 15 Subjects
Abstract:
... There is an increasing concern in manufacturing systems to reduce electricity costs and lower carbon footprints. There are usually two ways of reducing manufacturing electricity costs. One consists of reducing the total electricity demand by using more efficient equipment and processes, and the other focuses on scheduling algorithms to determine the best response to pricing policies put in place b ...
DOI:
10.1016/j.jclepro.2018.10.048

20. Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees

Author:
Ahmad, Muhammad Waseem; Reynolds, Jonathan; Rezgui, Yacine
Source:
Journal of cleaner production 2018 v.203 pp. 810-821
ISSN:
0959-6526
Subject:
algorithms,   etc   ; artificial intelligence; data collection; decision support systems; energy; models; prediction; solar thermal energy;     Show all 8 Subjects
Abstract:
... Predictive analytics play an important role in the management of decentralised energy systems. Prediction models of uncontrolled variables (e.g., renewable energy sources generation, building energy consumption) are required to optimally manage electrical and thermal grids, making informed decisions and for fault detection and diagnosis. The paper presents a comprehensive study to compare tree-bas ...
DOI:
10.1016/j.jclepro.2018.08.207