Purpose: Evaluation and monitoring systems are perceived as an effective tool to understand and improve the contribution of business activities to the accomplishment of the Sustainable Development Goals (SDGs). However, there is currently a lack of guidance and support on assessing the influence that the life cycle of products and services has on the SDGs. This article presents a case study where Social Life Cycle Assessment (S-LCA) is applied to understand the social performance of a textile product and its potential contribution to the SDGs. Methods: In this study, the link between the S-LCA methodology and the SDG framework was made at the indicator level, through a new classification of S-LCA indicators. This classification was aimed at indicating the positive or negative contribution of products or services into the SDGs. The method was tested with the case study of a man’s shirt whose supply chain takes place across five countries, from the cotton farming in China to the retailing in The Netherlands. The social performance of the shirt’s life cycle was analyzed through a social hotspot assessment (using PSILCA database) and a site-specific assessment following the UNEP/SETAC S-LCA guidelines. Primary data was collected for 6 different suppliers regarding 51 social indicators and four stakeholder categories (workers, local communities, value chain actors, and society). Results and discussion: The social hotspot assessment indicated high social risks on indicators related to the following SDGs: health and well-being, affordable and clean energy, decent work, and responsible production and consumption. These risks were mainly located in Bangladesh (shirt manufacturing) and Malaysia (fabric manufacturing). The site-specific assessment indicated different results than the social risk assessment, showing worse social performance in the spinning stage (located in China). Negative scores were obtained for every supplier in at least four indicators, including working hours, safe and healthy living conditions, and access to immaterial resources. Conclusions: The results indicated negative social performance of the supply chain in most of the SDGs and identified points of improvement for the final retailer. The linkage of the S-LCA framework with the SDGs presented methodological challenges, mainly related to the different scope of the SDG indicators and the S-LCA indicators.

Concentrating solar power (CSP) plants based on parabolic troughs utilise auxiliary fuels (usually natural gas) to facilitate start-up operations, avoid freezing of HTF and increase power output. This practice has a significant effect on the environmental performance of the technology. The aim of this paper is to quantify the sustainability of CSP and to analyse how this is affected by hybridisation with different natural gas (NG) inputs. A complete life cycle (LC) inventory was gathered for a commercial wet-cooled 50 MWe CSP plant based on parabolic troughs. A sensitivity analysis was conducted to evaluate the environmental performance of the plant operating with different NG inputs (between 0 and 35 % of gross electricity generation). ReCiPe Europe (H) was used as LCA methodology. CML 2 baseline 2000 World and ReCiPe Europe E were used for comparative purposes. Cumulative energy demands (CED) and energy payback times (EPT) were also determined for each scenario. Operation of CSP using solar energy only produced the following environmental profile: climate change 26.6 kg CO₂ eq/KWh, human toxicity 13.1 kg 1,4-DB eq/KWh, marine ecotoxicity 276 g 1,4-DB eq/KWh, natural land transformation 0.005 m²/KWh, eutrophication 10.1 g P eq/KWh and acidification 166 g SO₂ eq/KWh. Most of these impacts are associated with extraction of raw materials and manufacturing of plant components. The utilisation of NG transformed the environmental profile of the technology, placing increasing weight on impacts related to its operation and maintenance. Significantly higher impacts were observed on categories like climate change (311 kg CO₂ eq/MWh when using 35 % NG), natural land transformation, terrestrial acidification and fossil depletion. Despite its fossil nature, the use of NG had a beneficial effect on other impact categories (human and marine toxicity, freshwater eutrophication and natural land transformation) due to the higher electricity output achieved. The overall environmental performance of CSP significantly deteriorated with the use of NG (single score 3.52 pt in solar-only operation compared to 36.1 pt when using 35 % NG). Other sustainability parameters like EPT and CED also increased substantially as a result of higher NG inputs. Quasilinear second-degree polynomial relationships were calculated between various environmental performance parameters and NG contributions. Energy input from auxiliary NG determines the environmental profile of the CSP plant. Aggregated analysis shows a deleterious effect on the overall environmental performance of the technology as a result of NG utilisation. This is due primarily to higher impacts on environmental categories like climate change, natural land transformation, fossil fuel depletion and terrestrial acidification. NG may be used in a more sustainable and cost-effective manner in combined cycle power plants, which achieve higher energy conversion efficiencies.