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Abstract Biomass has often been regarded as a promising renewable energy resource to mitigate climate change. However, what will be the impact on global surface temperature if biomass replace fossil fuel remain unclear. This paper, through a case study in Uttar Pradesh, India address this issue by assessing biomass resource potential to reduce fossil fuel demand and mitigate climate change. Impact of biomass power related GHG emissions on global surface temperature is estimated using the Absolute Global Temperature change Potential (AGTP) climate metric. Uttar Pradesh can produce 71 Mt surplus biomass annually, equivalent to 7298 MW power. Power density of biomass range between 0.10 and 0.25 Wm-2. Significant amount of GHG emissions reduction is possible if biomass replace fossil fuel as a power source in the region. Annual GHG emissions associated with 1 MWh of power derived from coal, natural gas and biomass would cause 4.10 × 10−7, 2.40 × 10−7 and 1.25 × 10−7 mK rise in global surface temperature, 100 years after an initial emission, indicating potential of biomass power to mitigate climate change. Variation in spatio-temporal distribution and low power density could be delimiting factors in large-scale deployment of biomass power. Graphical abstract Image 1 Highlights • Biomass resources and power potentials are assessed for Uttar Pradesh, India. • GHG emissions from biomass power is assessed and compared with fossil fuels. • Climatic impact of power generation is assessed via novel climate metric. • Biomass power can mitigate climate change by replacing fossil fuels. • Spatio-temporal variability and low power density are limitations of biomass. [ABSTRACT FROM AUTHOR]

A central strategy for climate change mitigation is expanding electricity generation from renewable energy sources, with an increasing share of decentralized generation. Some of these sources are variable renewable energy (VRE) sources, such as wind and solar resources. Measures have to be enacted to integrate VRE into an existing power supply system. One approach is switching from grid electricity supply towards direct demand of VRE generation to reduce grid transportation requirements and variable electricity grid feed-in. Within this context, energy flexibility control of manufacturing systems can be used to match energy demand of manufacturing systems with on-site VRE generation. Nonetheless, due to their inherent dynamic behavior, interlinked manufacturing systems provide additional operational and technical challenges such as maintaining throughput when energy control actions are executed. Further, stochastic influences from, for example, VRE generation and manufacturing system behavior constitute the requirement for a real-time approach on the level of manufacturing execution systems. Consequently, this paper presents a method for real-time control of manufacturing systems with several processes and intermediate buffers to increase utilization of (on-site) generated VRE without compromising system throughput. An initial method for an energy flexibility control logic is presented and a simulation prototype to evaluate its effectiveness is implemented. A case study is used to demonstrate the effectiveness and to test sensitivities to system parameter changes. Impact on direct VRE demand and additional operational indicators is evaluated. [ABSTRACT FROM AUTHOR]