Use of optimization techniques for energy use efficiency and environmental life cycle assessment modification in sugarcane production

Kaab, Ali; Sharifi, Mohammad Ali; Mobli, Hossein; Nabavi‐Pelesaraei, Ashkan; Chau, Kwok Wing

doi:10.1016/j.energy.2019.06.002

Cited by 129 publications

(51 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In addition, the relative standard deviation (RSD) regarded as the evaluation indicator of reconciliation results is defined in Eq. (36). Fig.…”

Section: Figure 3 Probabilities Of Each Sample For Modesmentioning

confidence: 99%

“…Besides, to improve the effectiveness of energy efficiency optimization modeling, it can construct knowledge-based mechanism to ensure the convergence of optimization algorithm [35]. In addition, it can also make use of data analysis methods such as data envelopment analysis [36] and improved Contourlet neural network [37] to improve the optimization performance for guaranteeing the high energy efficiency and reasonable energy efficiency assessment strategy. The previous works provide motivation and inspiration for the energy efficiency optimization of the evaporation process in this paper.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Energy Efficiency Analysis and Optimization of Industrial Processes Based on a Novel Data Reconciliation

2021

View full text Add to dashboard Cite

The energy management and energy efficiency optimization are of particularly significant for promoting the sustainable development of industrial processes. However, industrial raw data with uncertain, relevant and inaccuracy characteristics influence the reliability and accuracy of energy efficiency analysis and optimization modeling. Therefore, an energy efficiency analysis and optimization method based on a novel data reconciliation (DR) integrating Gaussian mixture model (GMM) and mutual information (MI) is put forward. First, the material flow information with multiple data characteristics corresponding operation modes is divided through the GMM. Moreover, the novel data reconciliation model integrated with critical variable and mutual information is established considering time-scale redundancy information in different modes, then the comprehensive data reconciliation result is evaluated by the hypothesis testing. Furthermore, the reconciled data is applied to analyze the exergy balance and built the energy efficiency optimization model with multi-objective for a case study of industrial evaporation process. Finally, simulation case and industrial application case are used to analyze and discuss, and the results show that the validity and applicability of the proposed approach are illustrated in energy saving potential which is about 14.81%.INDEX TERMS Energy efficiency analysis, energy optimization, data reconciliation, Gaussian mixture model, mutual information, industrial processes.

show abstract

“…In addition, the relative standard deviation (RSD) regarded as the evaluation indicator of reconciliation results is defined in Eq. (36). Fig.…”

Section: Figure 3 Probabilities Of Each Sample For Modesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Analysis and Optimization of Industrial Processes Based on a Novel Data Reconciliation

2021

View full text Add to dashboard Cite

show abstract

“…Designers use this process to help critique their products. LCAs can help avoid a narrow outlook on environmental concerns by (Tonini and Astrup 2012;Kaab et al 2019b). Compiling an inventory of relevant energy and material inputs and environmental releases;  Evaluating the potential impacts associated with identified inputs and releases;  Interpreting the results to help in making a more informed decision.…”

Section: Lca Frameworkmentioning

confidence: 99%

Joint of Modeling Techniques and Life Cycle Assessment for Prediction of Yield, Economic Profit, and Global Warming Potential for Wheat Farms

Mobtaker

Kaab

Rafiee

2021

Preprint

Self Cite

View full text Add to dashboard Cite

Forecasting crop yield and its environmental effects can help increase agricultural energy efficiency and reduce environmental impacts. This study provides mathematical, adaptive network-based fuzzy inference system (ANFIS) and neural networks (ANNs) techniques for forecast yield, economic profit, and global warming of wheat production. For this purpose, 75 wheat farms located in the central area of Hamadan province were selected randomly and data were gathered through oral interview. Then, computed the input and output energy, life cycle assessment (LCA) was utilized to specify the environmental effects of wheat cultivation. The calculations displayed that the averages of inputs and outputs energy were about 43055 MJ ha−1 and 117407 MJ ha−1, respectively. The LCA results demonstrated that wheat cultivation cause to the emissions of 624.29 kg CO2 eq. ton−1. ANN structures for predicting yield, economic profit and global warming in wheat production with two hidden layers were the best topologies. ANFIS model results indicated that in the 3-level ANFIS model, the highest R2 is found for net return (0.962). The results comparison showed that ANN and ANFIS models outperform linear models to predict yield, economic profit, and global warming of wheat production.

show abstract

“…Essa cultura era tida como um luxo e uma especiaria cara do século VI ao IV a.C.; sendo introduzida no Velho Mundo por volta do século VIII e posteriormente disseminada para o Caribe, América do Sul e nações insulares do oceano Índico e Pacífico (ZHANG et al, 2018). Hoje é cultivada de 31° latitude sul a 36/7 ° latitude norte (KAAB et al, 2019), em uma área superior a 20 milhões de hectares (PARIDA et al, 2020) e em mais de 100 países (SATHISH et al, 2018). A cana-de-açúcar é a principal fonte geradora de açúcar no mundo (KAAB et al, 2019), respondendo pela produção de mais de 70% da produção desse produto (SATHISH et al, 2018), com uma produção superior a 300 milhões de toneladas anuais (PARIDA et al, 2020).…”

Section: Introductionunclassified

“…Em muitos países, a cana-de-açúcar desempenha um substancial papel econômico, o que se deve principalmente a participação desses países no comércio global de açúcar (KAAB et al, 2019). O Brasil se destaca como o maior produtor mundial de cana-de-açúcar, seguido pela Índia (PARIDA et al, 2020).…”

Section: Introductionunclassified

Dinâmica produtiva da cultura da cana-de-açúcar em um município da zona da mata alagoana

et al. 2021

View full text Add to dashboard Cite

A cana-de-açúcar é uma cultura que apresenta grande importância socioeconômica a nível nacional e global. No Brasil, o estado de Alagoas se destaca com um dos principais produtores dessa cultura, no entanto, o estado vem perdendo esse dinamismo nas últimas décadas, o que impacta de forma decisiva a economia dos munícipios produtores. Nesse sentido, objetivou-se avaliar a dinâmica produtiva da cultura da cana-de-açúcar no município de Boca da Mata, Alagoas, no período de 1998-2018. Os dados relativos a área plantada, área colhida, produção, produtividade e valor da produção da cana-de-açúcar no município foram obtidos do banco de dados da Produção Agrícola Municipal do IBGE, utilizando-se o Sistema de Recuperação Automática (SIDRA), e submetidos posteriormente a análise de correlação e análise de componentes principais (ACP). Os resultados evidenciaram elevada variabilidade temporal nas variáveis analisadas, com destaque para as fortes reduções na área plantada e colhida a partir de 2014. A ACP explicou 94% da variância original dos dados nos dois primeiros eixos e agrupou os anos monitorados em dois clusters com métricas produtivas distintas. A matriz de correlação evidenciou fortes correlações entre a maioria das variáveis, principalmente entre área plantada e área colhida. Levando em consideração a importância da cultura da cana-de-açúcar para Boca da Mata, ações que viabilizem um melhor desempenho agronômico dessa cultura no município devem ser incentivadas, principalmente devido aos impactos econômicos advindos desses atos.

show abstract

Use of optimization techniques for energy use efficiency and environmental life cycle assessment modification in sugarcane production

Cited by 129 publications

References 58 publications

Energy Efficiency Analysis and Optimization of Industrial Processes Based on a Novel Data Reconciliation

Energy Efficiency Analysis and Optimization of Industrial Processes Based on a Novel Data Reconciliation

Joint of Modeling Techniques and Life Cycle Assessment for Prediction of Yield, Economic Profit, and Global Warming Potential for Wheat Farms

Dinâmica produtiva da cultura da cana-de-açúcar em um município da zona da mata alagoana

Contact Info

Product

Resources

About