Regional Analysis

Forests provide several critical ecosystem services that help to support human society. Alteration of forest infrastructure by changes in land use, atmospheric chemistry, and climate change influence the ability of forests to provide these ecosystem services and their sensitivity to existing and future extreme climate events. Here, we explore how the evolving forest infrastructure of the Midwest and Northeast United States influences carbon sequestration, biomass increment (i.e., change in vegetation carbon), biomass burning associated with fuelwood and slash removal, the creation of wood products, and runoff between 1980 and 2019 within the context of changing environmental conditions and extreme climate events using a coupled modeling and assessment framework.

For the 40-year study period, the region’s forests functioned as a net atmospheric carbon sink of 687 Tg C with similar amounts of carbon sequestered in the Midwest and the Northeast. Most of the carbon has been sequestered in vegetation (+771 Tg C) with more carbon stored in Midwestern trees than in Northeastern trees to provide a larger resource for potential wood products in the future. Runoff from forests has also provided 4,651 billion m3 of water for potential use by humans during the study period with the Northeastern forests providing about 2.4 times more water than the Midwestern forests. Our analyses indicate that climate variability, as particularly influenced by heat waves, has the dominant effect on the ability of forest ecosystems to sequester atmospheric CO2 to mitigate climate change, create new wood biomass for future fuel and wood products, and provide runoff for potential human use. Forest carbon sequestration and biomass increment appear to be more sensitive to heat waves in the Midwest than the Northeast while forest runoff appears to be more sensitive in the Northeast than the Midwest. Land-use change, driven by expanding suburban areas and cropland abandonment, has enhanced the detrimental heat-wave effects in Midwestern forests over time, but moderated these effects in Northeastern forests.

When developing climate stabilization, energy production and water security policies, it will be important to consider how evolving forest infrastructure modifies ecosystem services and their responses to extreme climate events over time.

Abstract: The Turkish power sector achieved rapid growth after the 1990s in line with economic growth and beyond. However, domestic resources did not support this development and therefore resulted in a high dependency on imported fossil fuels. Furthermore, the governments were slow off the mark in introducing policies for increasing the share of renewable energy. Even late actions of the governments, as well as significant decreases in the cost of wind and especially solar technologies, have recently brought the Turkish power sector into a promising state.

A large-scale generation-expansion power-system model (TR-Power) with a high temporal resolution (hours) is developed for the Turkish power generation sector. Several scenarios were analyzed to assess their environmental and economic impacts.
 
The results indicate that a transition to a low-carbon power grid with around half of the electricity demand satisfied by renewable resources over 25 years would be possible, with annual investments of 3.97–6.88 billion in 2019 US$. Moreover, TR-Power indicates that the shadow price of CO2 emissions in the power sector will be around 17.1 and 33.8 $/per tCO2 by 2042, under 30% and 40% emission reduction targets relative to the reference scenario.
 

Author's Highlights: 

• A large-scale generation expansion power system model with a high temporal resolution (hours).

• Seventeen scenarios including various growth paths, subsidy schemes, and constraints on the emissions.

• Half of the total load demand would be satisfied by renewables either by introducing a subsidy scheme or a carbon tax.
 
• CO2 price will be around ∼17 and ∼34 $/per tCO2 by 2042 under 30% and 40% emission reduction.
 
• Renewable share would be increased by nearly 10% with an additional annual investment of 887 M 2019 US$.

Abstract: Physical and societal risks across the natural, managed, and built environments are becoming increasingly complex, multi-faceted, and compounding. Such risks stem from socio-economic and environmental stresses that co-evolve and force tipping points and instabilities. Robust decision-making necessitates extensive analyses and model assessments for insights toward solutions. However, these exercises are consumptive in terms of computational and investigative resources. In practical terms, such exercises cannot be performed extensively – but selectively in terms of priority and scale. Therefore, an efficient analysis platform is needed through which the variety of multi-systems/sector observational and simulated data can be readily incorporated, combined, diagnosed, visualized, and in doing so, identifies “hotspots” of salient compounding threats.

In view of this, we have constructed a “triage-based” visualization and data-sharing platform – the Socio-Environmental Systems Risk Triage (SESRT) – that brings together data across socio-environmental systems, economics, demographics, health, biodiversity, and infrastructure. Through the SESRT website, users can display risk indices that result from weighted combinations of risk metrics they can select. Currently, these risk metrics include land-, water-, and energy systems, biodiversity, as well as demographics, environmental equity, and transportation networks.

We highlight the utility of the SESRT platform through several demonstrative analyses over the United States from the national to county level. The SESRT is an open-science tool and available to the community-at-large. We will continue to develop it with an open, accessible, and interactive approach, including academics, researchers, industry, and the general public.

Abstract: This article evaluates the optimum economic hourly dispatch in hydro-thermal systems with massive integration of variable renewable energy, wind and solar. A linear optimization model, Elemod, makes it feasible to analyze the power system operation with hourly time step, taking into account one year of planning horizon much larger than the weekly horizon that usually sets the hydro-thermal scheduling studies. We propose an alternative formulation for pumped-hydro storage, in a way that the total annual system cost is minimized with the co-optimization of the hourly PHS operation cost.

To illustrate the methodology and modelling application, presenting a real system analysis, the Brazilian Hydro-thermal System was chosen to be simulated based on its planned capacity stepping into 2029. At the end, the paper shows the ability of the PHS system to provide hourly capacity to the power system, as well as to better allocate VRE generation and manage the bulk of transmission system usage. The cost reduction could be about 14 Million R$ of the total operation cost estimated for the 2029-power system capacity.

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