Optimization of a landfill gas collection shutdown based on an adapted first-order decay model. (May 2017)

• Record Type: Journal Article
• Authors: Lagos, Daniel A.; Héroux, Martin; Gosselin, Ryan; Cabral, Alexandre R.
• Is Part Of: Waste management. Volume 63(2017)
• Page Start: 238
• Page End: 245
• Publication Date: 2017-05
• Subjects: Landfill gas collection -- First-order decay model -- LandGEM -- IPCC model -- Fast-decaying refuse -- Slow-decaying refuse; Hazardous wastes -- Periodicals; Refuse and refuse disposal -- Periodicals; 363.728
• DOI: 10.1016/j.wasman.2016.08.012
• Languages: English
• ISSNs: 0956-053X

Abstract

Graphical abstract: Highlights: Approach founded on 20 years of gas collection data. Study with largest database published so far. Approach is unique: error minimization technique is only one of the steps in the process. Assessment of ideal time to shut down or change gas collection system is critical for operators. Estimation of ideal shut down moment based on collection data help optimize allocation of capital. Abstract: LandGEM's equation was reformulated to include two types of refuse, fast decaying refuse ( FDR ) and slow decaying refuse ( SDR ), whose fractions and key modeling parameters k and L 0 were optimized independently for three periods in the life of the Montreal-CESM landfill. Three scenarios were analyzed and compared to actual biogas collection data: (1) Two-Variable Scenario, where k and L 0 were optimized for a single type of refuse; (2) Six-Variable Scenario, where three sets of k and L 0 were optimized for the three periods and for a single type of refuse; and (3) Seven-Variable Scenario, whereby optimization was performed for two sets of k and L 0, one associated with FDR and the second with SDR, and for the fraction of FDR during each of the three periods. Results showed that the lowest error from the error minimization technique was obtained with the Six-Variable Scenario. However, this scenario's estimation of gas generation was found to be rather unlikely. The Seven-Variable Scenario, which allowed for considerations about changes in landfilling trends, offered a more reliable prediction tool for landfill gas generation and optimal shutdown time of the biogas collection system, when the minimum technological threshold would be attained. The methodology could potentially be applied mutatis mutandis to other landfills, by considering their specific waste disposal and gas collection histories.