Abstract
A reduction of anthropogenic CO2 emissions and extensive demand for electricity has motivated cleaner power production. Renewable energy source from biomass features an alternative option for sustainable energy generation. Innovation in biomass gasification with combined heat and power (BG-CHP) system emerges as a potential technology to achieve and stimulate the Sustainable Development Goal 11 (SDG 11: Climate Change). Nevertheless, a major problem of BG-CHP is its bulkiness and inconvenient form of biomass along with the multifaceted process behavior. All these feature non-linearities as well as high process interactions, and therefore require a control advancement to ensure feasible and flexible operation. Two different types of controllers [viz; proportional, integral, and derivative controller (PID) and Model Predictive Controller (MPC)] are designed and evaluated to identify the best control system via set point tracking scenario. Embedment of MPC into palm kernel shell BG-CHP plant outperformed the performance of PID controller with minimal overshoot and precise set-point tracking. The findings obtained from this study are valuable in identifying the practicability of BG-CHP system as a sustainable and clean waste to energy (WtE) technology.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
ALL Power Labs (2020) ALL Power Labs: about us. http://www.allpowerlabs.com
International Trade Administration. www.trade.gov, last accessed 2021/6/20
Abdullah N, Sulaiman F, Aliasak Z (2013) A case study of pyrolysis of oil palm wastes in Malaysia. AIP conference proceedings. American Institute of Physics, pp 331–336
Annuar NN, Kamarulzaman N, Shadzalli Z, Abdullah I, Liew P, Manaf N (2021) Simulation of Palm Kernel Shell gasification for small scale power generation using Aspen Plus Software. IOP conference series: materials science and engineering. IOP Publishing, p 012054
Ashok S, Siby J (2010) Application of model predictive controller in gasifier power plant. International conference on system modelling, optimisation and advanced process automation
Böhler L, Krail J, Görtler G, Kozek M (2020) Fuzzy model predictive control for small-scale biomass combustion furnaces. Appl Energy 276:115339
Chinprasit J, Panjapornpon C (2020) Model predictive control of vinyl chloride monomer process by Aspen Plus dynamics and MATLAB/simulink co-simulation approach. IOP conference series: materials science and engineering. IOP Publishing, p 012080
Chua SC, Oh TH (2010) Malaysia’s national energy developments: key policies, agencies, programmes and international involvements. Renew Sustain Energy Rev 2916–2925
Elmaz F, Yücel Ö (2020) Data-driven identification and model predictive control of biomass gasification process for maximum energy production. Energy 195:117037
Esmaeili A, Shokoohi Z (2011) Assessing the effect of oil price on world food prices: application of principal component analysis. Energy Policy 1022–1025
Huang C-N, Shen H-T (2019) Maximum hydrogen production by using a gasifier based on the adaptive control design. Int J Hydrogen Energy 44:26248–26260
Rahman FA, Aziz MMA, Saidur R, Bakar WAWA, Hainin MR, Putrajaya R, Hassan NA (2017) Pollution to solution: Capture and sequestration of carbon dioxide (CO2) and its utilization as a renewable energy source for a sustainable future. Renew Sustain Energy Rev 71:112–126
Rasid A, Abdullah I, Siaw C, Zanil M, Shadzalli ZM, Abbas A, Manaf NA (2020) Sensitivity analysis of small scale biomass gasification-based CHP system: a way forward for sustainable urban waste to energy technology. IOP conference series: materials science and engineering. IOP Publishing, p 012123
Seyab RKA, Cao Y (2005) Nonlinear model predictive control for the Alstom gasifier benchmark problem IFAC Proceedings Volumes 38:69–74
Shen Y, Li X, Yao Z, Cui X, Wang C-H (2019) CO2 gasification of woody biomass: experimental study from a lab-scale reactor to a small-scale autothermal gasifier. Energy 170:497–506
Vijay Daniel P, Sanjeevi Gandhi A (2017) Design of mathematical modelling and control of downdraft biomass gasifier. Int J Control Autom 10:175
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kok, Y.H. et al. (2023). Control Analysis of Biomass Gasification with Combined Heat and Power System. In: Johari, N.H., Wan Hamzah, W.A., Ghazali, M.F., Setiabudi, H.D., Kumarasamy, S. (eds) Proceedings of the 2nd Energy Security and Chemical Engineering Congress. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-4425-3_5
Download citation
DOI: https://doi.org/10.1007/978-981-19-4425-3_5
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-4424-6
Online ISBN: 978-981-19-4425-3
eBook Packages: EngineeringEngineering (R0)