Stable and Effective Online Monitoring and Feedback Control of PCDD/F during Municipal Waste Incineration. [PDF]
Xiong S +6 more
europepmc +1 more source
ABSTRACT The growing complexity and severity of cross‐border climate risks characterised by non‐linear impact chains and deep uncertainty questions the capacity of environmental governance to tackle these problems effectively and in a just manner. To increase the efficiency of climate action, the private sector has been called upon to leverage market ...
Päivi Tikkakoski, Sirkku Juhola
wiley +1 more source
Assessing the Environmental Impact of Municipal Waste on Energy Incineration Technology for Power Generation Using Life Cycle Assessment Methodology. [PDF]
Luo Y +6 more
europepmc +1 more source
AI‐driven circular economy optimization in waste management: A review of current evidence
Abstract The integration of artificial intelligence (AI) and machine learning (ML) in waste management has the potential to significantly advance circular economy objectives by enhancing efficiency, reducing waste, and optimizing resource recovery. However, realising these benefits depends on addressing significant technical, economic, and systemic ...
David Bamidele Olawade +3 more
wiley +1 more source
Pyrolysis, a recovery solution to reduce landfilling of residual organic waste generated from mixed municipal waste. [PDF]
Graça J +5 more
europepmc +1 more source
The Use of the Contamination Index and the LWPI Index to Assess the Quality of Groundwater in the Area of a Municipal Waste Landfill. [PDF]
Knopek T, Dabrowska D.
europepmc +1 more source
ABSTRACT This paper explores the integration of gender mainstreaming in urban food policies (UFPs) through three Spanish case studies: Barcelona, Valencia, and Zaragoza. While UFPs are pivotal for addressing sustainability in urban food systems, attention to gender disparities within them remains insufficient.
Chiara Bergonzini, Francesca Donati
wiley +1 more source
Modeling of municipal waste disposal rates during COVID-19 using separated waste fraction models. [PDF]
Vu HL +4 more
europepmc +1 more source
A deep reinforcement learning–based control architecture is proposed to coordinate heat pumps, thermal storage, renewable energy, and demand response in data center waste heat recovery systems. The agent learns optimal control actions from system states and reward feedback to achieve electrical–thermal co‐optimization under realistic operational ...
Rendong Shen +5 more
wiley +1 more source
Characterisation of household single-use packaging flows through a municipal waste system: A material flow analysis for New South Wales, Australia. [PDF]
Madden B, Florin N.
europepmc +1 more source

