Life cycle assessment (LCA) was combined with primary data from nine forest harvesting operations in New York, Maine, Massachusetts, and Vermont, from 2013 to 2019 where forest biomass (FB) for bioenergy was one of several products. The objective was to conduct a data‐driven study of greenhouse gas emissions associated with FB feedstock harvesting operations in the Northeast United States. Deterministic and stochastic LCA models were built to simulate the current FB bioenergy feedstock supply chain in the Northeast US with a cradle‐to‐gate scope (forest harvest through roadside loading) and a functional unit of 1.0 Mg of green FB feedstock at a 50% moisture content. Baseline LCA, sensitivity analysis, and uncertainty analyses were conducted for three different FB feedstock types—dirty chips, clean chips, and grindings—enabling an empirically driven investigation of differences between feedstock types, individual harvesting process contributions, and literature comparisons. The baseline LCA average impacts were lower for grindings (4.57 kg CO2eq/Mg) and dirty chips (7.16 kg CO2eq/Mg) than for clean chips (23.99 kg CO2eq/Mg) under economic allocation, but impacts were of similar magnitude under mass allocation, ranging from 24.42 to 27.89 kg CO2eq/Mg. Uncertainty analysis showed a wider range of probable results under mass allocation compared to economic allocation. Sensitivity analysis revealed the impact of variations in the production masses and total economic values of primary products of forest harvests on the LCA results due to allocation of supply chain emissions. The high variability in fuel use between logging contractors also had a distinct influence on LCA results. The results of this study can aid decision‐makers in energy policy and guide emissions reductions efforts while informing future LCAs that expand the system boundary to regional FB energy pathways, including electricity generation, transportation fuels, pellets for heat, and combined heat and power.

The Indian Point Energy Center (IPEC) supplied approximately 25% of New York City and the surrounding area’s electricity. As of April 2021, the nuclear power plant has been shut down, creating the need for other energy sources to meet the demand. This scoping analysis study examined the ability of different renewable pathways (solar photovoltaic (PV), willow biomass, onshore wind, and two combinations of these) to replicate the IPEC’s electricity generation profile. Five renewable electricity generation supply profiles were developed and analyzed from monthly and seasonal perspectives. The timing and alignment of the different generation supply profiles relative to that of IPEC were analyzed. Productivity in MWh hectare−1 year−1 and economic feasibility of the renewable electricity pathway scenarios were assessed. This study identified the solar PV pathway as the most efficient in terms of electricity land productivity at 731.9 MWh hectare−1 year−1, while the willow biomass pathway was the least efficient at 15.2 MWh hectare−1 year−1. However, in terms of net electricity output to the grid, the solar PV pathway was the least productive at 137,610 MWh/year, while the onshore wind with willow biomass pathway produced the highest net output at 894,801 MWh/year. These findings are important at a time when policymakers are considering or implementing plans to phase out nuclear power in favor of renewable electricity.

There is a lack of economic feasibility analyses on the harvesting of forest biomass to supply low-carbon bioenergy feedstocks using actual data on the mixed product harvest in the hardwood region of the northeast USA. This study is a techno-economic analysis of three different scenarios (clean chips, dirty chips, or pulpwood) based on data collected from wholetree harvesting systems over 6 years. Each scenario had two different cases: one with costs and revenues allocated by mass (allocated system), and the other without allocation (whole system). The six cases of three scenarios tested resulted in a wide range of positive net present values (NPVs) from $1 713 000 to $819 in US dollars. Clean chip production generated substantial NPVs and dirty chips generated marginal NPVs. The minimum selling prices (MSPs) of clean chips from two cases were similar, $45.92 and $45.55 per green metric ton (Mg), with maximum hauling distances (MHDs) of 247 and 250 km (km). The MSPs for dirty chips from four cases ranged from $34.38 to $37.47 per Mg with the range of MHDs from 184 to 351 km. MSP and sensitivity analyses suggest that the selling prices and harvesting production levels of clean chips and dirty chips, and purchase prices of forestry logging equipment are the key factors that most influence the profitability of the regional forest biomass feedstock supply chain.