It is vital to perform system analysis on integrated biomass gasification in chemical recovery systems in pulp and paper and heat and power plants for polygeneration applications. The proposed integration complements existing pulp and paper and heat and power production systems with production of chemicals such as methane and hydrogen. The potential to introduce gasification-based combined cycles comprising gas turbines and steam turbines to utilize black liquors and wood pellets also merits investigation. To perform such analysis, it is important to first build knowledge on expected synthesis gas composition by gasifying at smaller scale different types of feed stock. In the present paper, the synthesis gas quality from wood pellets gasification has been compared with black liquor gasification by means of numerical simulation as well as through pilot-scale experimental investigations. The experimental results have been correlated into partial least squares models to predict the composition of the synthesis gas produced under different operating conditions. The gas quality prediction models are combined with physical models using a generic open-source modelling language for investigating the dynamic performance of large-scale integrated polygeneration plants. The analysis is further complemented by considering potential gas separation using modern membrane technology for upgrading the synthesis gas with respect to hydrogen content. The experimental data and statistical models presented in this study form an important literature source for future use by the gasification and polygeneration research community on further integrated system analysis. (C) 2017 Elsevier Ltd. All rights reserved.
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Zhejiang Univ, State Key Lab Clean Energy Utilizat, Hangzhou 310027, Peoples R ChinaZhejiang Univ, State Key Lab Clean Energy Utilizat, Hangzhou 310027, Peoples R China
Han-Ping, Kuang
Jun-Hu, Zhou
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Zhejiang Univ, State Key Lab Clean Energy Utilizat, Hangzhou 310027, Peoples R ChinaZhejiang Univ, State Key Lab Clean Energy Utilizat, Hangzhou 310027, Peoples R China
Jun-Hu, Zhou
Zhi-Jun, Zhou
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Zhejiang Univ, State Key Lab Clean Energy Utilizat, Hangzhou 310027, Peoples R ChinaZhejiang Univ, State Key Lab Clean Energy Utilizat, Hangzhou 310027, Peoples R China
Zhi-Jun, Zhou
Han-Zhong, Liu
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Zhejiang Univ, State Key Lab Clean Energy Utilizat, Hangzhou 310027, Peoples R ChinaZhejiang Univ, State Key Lab Clean Energy Utilizat, Hangzhou 310027, Peoples R China
Han-Zhong, Liu
Ke-Fa, Cen
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Zhejiang Univ, State Key Lab Clean Energy Utilizat, Hangzhou 310027, Peoples R ChinaZhejiang Univ, State Key Lab Clean Energy Utilizat, Hangzhou 310027, Peoples R China
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Amer Univ Ras Al Khaimah, CSEM UAE Innovat Ctr, RAK Res & Innovat Ctr, Ras Al Khaymah, U Arab Emirates
KTH Royal Inst Technol, Dept Energy Technol, S-10044 Stockholm, SwedenAmer Univ Ras Al Khaimah, CSEM UAE Innovat Ctr, RAK Res & Innovat Ctr, Ras Al Khaymah, U Arab Emirates
Mohan, Gowtham
Kumar, N. T. Uday
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Amer Univ Ras Al Khaimah, CSEM UAE Innovat Ctr, RAK Res & Innovat Ctr, Ras Al Khaymah, U Arab Emirates
KTH Royal Inst Technol, Dept Energy Technol, S-10044 Stockholm, SwedenAmer Univ Ras Al Khaimah, CSEM UAE Innovat Ctr, RAK Res & Innovat Ctr, Ras Al Khaymah, U Arab Emirates
Kumar, N. T. Uday
Pokhrel, Manoj Kumar
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Amer Univ Ras Al Khaimah, CSEM UAE Innovat Ctr, RAK Res & Innovat Ctr, Ras Al Khaymah, U Arab EmiratesAmer Univ Ras Al Khaimah, CSEM UAE Innovat Ctr, RAK Res & Innovat Ctr, Ras Al Khaymah, U Arab Emirates
Pokhrel, Manoj Kumar
Martin, Andrew
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KTH Royal Inst Technol, Dept Energy Technol, S-10044 Stockholm, SwedenAmer Univ Ras Al Khaimah, CSEM UAE Innovat Ctr, RAK Res & Innovat Ctr, Ras Al Khaymah, U Arab Emirates