Applying multi-objective planning in low-carbon product design

Kuo, Tsai‐Chi; Chen, Hsiao-Min; Liu, Chia Yi; Tu, Jui-Che; Yeh, Tzu-Chang

doi:10.1007/s12541-014-0331-z

Cited by 38 publications

(24 citation statements)

References 21 publications

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“…Hence, this case belongs to the layer-1 negative field (i.e. Z PLCD CASE 9 9 & V À ), and Table 1. Similarity retrieval results based on some screw air compressor cases.…”

Section: Static Classificationmentioning

confidence: 98%

Extension classification method for low-carbon product cases

Zhao

Ren

Hong

et al. 2016

Advances in Mechanical Engineering

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In product low-carbon design, intelligent decision systems integrated with certain classification algorithms recommend the existing design cases to designers. However, these systems mostly dependent on prior experience, and product designers not only expect to get a satisfactory case from an intelligent system but also hope to achieve assistance in modifying unsatisfactory cases. In this article, we proposed a new categorization method composed of static and dynamic classification based on extension theory. This classification method can be integrated into case-based reasoning system to get accurate classification results and to inform designers of detailed information about unsatisfactory cases. First, we establish the static classification model for cases by dependent function in a hierarchical structure. Then for dynamic classification, we make transformation for cases based on case model, attributes, attribute values, and dependent function, thus cases can take qualitative changes. Finally, the applicability of proposed method is demonstrated through a case study of screw air compressor cases.

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“…Hence, this case belongs to the layer-1 negative field (i.e. Z PLCD CASE 9 9 & V À ), and Table 1. Similarity retrieval results based on some screw air compressor cases.…”

Section: Static Classificationmentioning

confidence: 98%

Extension classification method for low-carbon product cases

Zhao

Ren

Hong

et al. 2016

Advances in Mechanical Engineering

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“…First, we collect low-carbon energy evaluation indicators and public projects performance evaluation indicators by referring relevant literature [47][48][49][50][51], and transform some valuable information in the government announcements into indicators. We collect the relevant information on the Chinese Urban Low-carbon Economy Network and analyze the correlation of the information.…”

Section: Indicator Systemmentioning

confidence: 99%

Energy Utilization Evaluation of Carbon Performance in Public Projects by FAHP and Cloud Model

Fan

Tang

2016

Sustainability

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Abstract:With the low-carbon economy advocated all over the world, how to use energy reasonably and efficiently in public projects has become a major issue. It has brought many open questions, including which method is more reasonable in evaluating the energy utilization of carbon performance in public projects when the evaluation information is fuzzy; whether an indicator system can be constructed; and which indicators have more impact on carbon performance. This article aims to solve these problems. We propose a new carbon performance evaluation system for energy utilization based on project processes (design, construction, and operation). Fuzzy Analytic Hierarchy Process (FAHP) is used to accumulate the indicator weights and cloud model is incorporated when the indicator value is fuzzy. Finally, we apply our indicator system to a case study of the Xiangjiang River project in China, which demonstrates the applicability and efficiency of our method.

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“…It also presented the advantages of low-carbon initiatives and crisis with the nuclear based generation systems briefly. Reference [6] presented the design of low-carbon optimum evaluation model by using multi-objective function to improve the efficiency of carbon footprint calculations. This considers dealer manufacturing capacity, green-house gas values, product components transport modes, design phase costs, as well as the product decisions made by enterprises.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The fuel curve is assumed as a straight line with a y-intercept and uses (6) for the generator's fuel consumption. Diesel generators are added to the microgrid system to cover the peak load.…”

Section: Diesel Generator Modelingmentioning

confidence: 99%

Renewable energy based microgrid system sizing and energy management for green buildings

Kumar

Bhimasingu

2015

J. Mod. Power Syst. Clean Energy

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The objective of this paper is to model a hybrid power system for buildings, which is technically feasible and economically optimal. With a view to promote renewable energy sources, photovoltaics and wind turbines are integrated with the grid connected building. The system is modeled and the optimal system configuration is estimated with the help of hybrid optimization model for electric renewables (HOMER). The logic is illustrated with a case study based on the practical data of a building located in southern India. This building is associated with 3.4 MWh/day priority load (peak load as 422 kW), as well as 3.3 MWh/day deferrable load (peak load as 500 kW). Sensitivity analysis is performed to deal with uncertainties such as the increase in electricity consumption and grid tariff, environmental changes, etc. From the simulation result, it is observed that the designed system is cost effective and environment friendly, which leads to 6.18 % annual cost savings and reduces CO 2 emissions by 38.3 %. Sensitivity results indicate that the system is optimal and adaptable in a certain range of unanticipated variances with respect to best estimated value. Finally, an energy management strategy is developed for the optimal system to ensure reliable power during contingency and disturbances. The green and hybrid power system designed can be adaptable to any critical and large consumers of urban buildings.

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Applying multi-objective planning in low-carbon product design

Cited by 38 publications

References 21 publications

Extension classification method for low-carbon product cases

Extension classification method for low-carbon product cases

Energy Utilization Evaluation of Carbon Performance in Public Projects by FAHP and Cloud Model

Renewable energy based microgrid system sizing and energy management for green buildings

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