Optimal location of biogas and biomass generation plants

Celli, Gianni; Ghiani, Emilio; Loddo, M.; Pilo, Fabrizio; Pani, Sara Maria

doi:10.1109/upec.2008.4651490

Cited by 25 publications

(17 citation statements)

References 3 publications

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“…This biomass probably gets converted into bio-fuels through physical, biological and chemical processes [8] [13]. In chemical form biomass is stored solar energy and can be converted into solid, liquid and gaseous energy carries as shown in Fig.…”

Section: A Bio-energymentioning

confidence: 99%

Cost-Effective Micro Hybrid Power Plant with Rational Fuel Feeding Arrangement

Singh¹,

V.K²,

Singh³

2017

IJET

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Abstract-This case study proposes the hybrid system for stability, wherein the electricity generation is facilitated by a solar photovoltaic and biogas system for generation of electricity. This study pays utmost attention towards evading the adverse effects from global warming and meeting the resource demands. The hybrid system energy renders cost-effectiveness with improved reliability and life quality in smaller towns and scattered population, where the distribution of energy becomes costly and efficiency is reduced so to overcome this problems we try to design a hybrid system which will meet our demand and will be environmental friendly. This process of hybrid energy is a new concept and it is expected that it has great future. As today's world needs energy and the energy should be environmental friendly and it should reach each and every person throughout the globe. Therefore to meet this type of demand we have to see what type of non conventional resources are available in which part and depending on this we have to design the generation of energy. As we know that any of the non conventional source is not 100% reliable so to increase the reliability we go in for hybrid energy. In this system we use different sources of non conventional energy resources in combination. The different combinations are different for different reasons. In this case we take the case of Punjab reign of India in sub continent of Asia, Which is an intensive agricultural state and location wise it is located where we get good amount sunlight around the year. So in this we use the combination of solar and biogas energies to meet our demand of a stable reliable and environmental friendly energy. . Depending on these sources availability at any part of the world, we are trying to have our energies from above stated sources [21]. But due to some technical problems of these sources individually we are not able to depend on them reliably for energy [22]. As we have two parts of energy load, the peak load as well as the base load now depend on different sources we try to generate or have a hybrid source to meet our base load and peak load together [12]. Now depending on the availability of the non conventional sources we have different combinations in different regions example could be solar with wind, solar with biomass, solar with biogas wind with tidal, wind with biogas, tidal with biogas etc . Depending on the conditions of north India, which has large amount of solar energy and large rural population with huge number of domestic animals, it is essential to exploit the solar energy. So, this paper focuses on the combination of biogas and solar energy to show that we can attain self reliability at the village level or a cluster of few villages. Keywords-Hybrid

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Section: A Bio-energymentioning

confidence: 99%

Cost-Effective Micro Hybrid Power Plant with Rational Fuel Feeding Arrangement

Singh¹,

V.K²,

Singh³

2017

IJET

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“…By so doing, the population, generation by generation, improves and, if the premature convergence is avoided, for instance, with a random mutation, the algorithm converges. GA have been used by the first authors that pioneered the problem of the optimal integration of distributed energy resources in the distribution system and since then it has been preferred to other meta-heuristic algorithms [28][29][30][31]. The reason of the success is that GA is intrinsically suited to solve location problems.…”

Section: ) Metaheuristic Algorithmsmentioning

confidence: 99%

“…Maximisation of DG capacity [22][23][24][25][26][27][28][29][30][31] Investment Planning [29] Multi-Objective [34][35][36][37][38][39][40][41][42][43][44][45] Probabilistic analysis Improved reliability [48][49][50][51][52][53][54] III. BARRIERS TO IMPLEMENTATION There are numerous implementation challenges in integrating DG into power systems and these have been explored well at a research level in recent years [56][57][58].…”

Section: Metaheuristicsmentioning

confidence: 99%

State-of-the-Art Techniques and Challenges Ahead for Distributed Generation Planning and Optimization

Keane¹,

Ochoa²,

Borges³

et al. 2013

IEEE Trans. Power Syst.

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385

169

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“…Most of these existing studies focus either on the optimization of biorefinery locations (Celli, Ghiani, Loddo, Pilo & Pani, 2008;Graham, English & Noon, 2000;Panichelli & Gnansounou, 2008; -1418-Journal of Industrial Engineering and Management -http://dx.doi.org/10.3926/jiem.1196 Perpiñá, Alfonso, Pérez-Navarro, Peñalvo, Vargas & Cárdenas, 2009;Steen, Kang, Bokinky, Hu, Schimer, McClure et al, 2010) or on the optimization and simulation of the biomass collection, storage, and transport operations (Frombo, Minciardi, Robba, Rosso & Sacile, 2009;Kumar & Sokhansanj, 2007;Rentizelas, Tolis & Tatsiopoulos, 2009;Sokhansanj, Kumar & Turhollow, 2006). Eksioglu, Acharya, Leightley and Arora (2009) investigate the integrated biomass and biofuel logistics network design, simultaneously taking into account the optimization of facility locations (e.g., collection facilities, biorefineries), transportation, and inventory control.…”

Section: Literature Reviewmentioning

confidence: 99%

A simulation-based robust biofuel facility location model for an integrated bio-energy logistics network

Hong

Feng

Xie

2014

JIEM

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Abstract:Purpose: The purpose of this paper is to propose a simulation-based robust biofuel facility location model for solving an integrated bio-energy logistics network (IBLN) problem, where biomass yield is often uncertain or difficult to determine.Design/methodology/approach: The IBLN considered in this paper consists of four different facilities: farm or harvest site (HS), collection facility (CF), biorefinery (BR), and blending station (BS). Authors propose a mixed integer quadratic modeling approach to simultaneously determine the optimal CF and BR locations and corresponding biomass and bio-energy transportation plans. The authors randomly generate biomass yield of each HS and find the optimal locations of CFs and BRs for each generated biomass yield, and select the robust locations of CFs and BRs to show the effects of biomass yield uncertainty on the optimality of CF and BR locations. Case studies using data from the State of South Carolina in the United State are conducted to demonstrate the developed model's capability to better handle the impact of uncertainty of biomass yield. Findings:The results illustrate that the robust location model for BRs and CFs works very well in terms of the total logistics costs. The proposed model would help decision-makers find the most robust locations for biorefineries and collection facilities, which usually require huge -1415-Journal of Industrial Engineering and Management -http://dx.doi.org/10.3926/jiem.1196 investments, and would assist potential investors in identifying the least cost or important facilities to invest in the biomass and bio-energy industry.Originality/value: An optimal biofuel facility location model is formulated for the case of deterministic biomass yield. To improve the robustness of the model for cases with probabilistic biomass yield, the model is evaluated by a simulation approach using case studies.The proposed model and robustness concept would be a very useful tool that helps potential biofuel investors minimize their investment risk.

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Optimal location of biogas and biomass generation plants

Cited by 25 publications

References 3 publications

Cost-Effective Micro Hybrid Power Plant with Rational Fuel Feeding Arrangement

Cost-Effective Micro Hybrid Power Plant with Rational Fuel Feeding Arrangement

State-of-the-Art Techniques and Challenges Ahead for Distributed Generation Planning and Optimization

A simulation-based robust biofuel facility location model for an integrated bio-energy logistics network

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